Data Entry Jobs in Saudi

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you ll play a key role in advancing AI capabilities and real-world applications.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies. Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML). Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets). Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving. Strong attention to detail and commitment to data accuracy. Self-directed work ethic with ability to troubleshoot independently. A link to GitHub is a plus. English proficiency: Upper-intermediate (B2) or above (required).</p><p>Why this freelance opportunity might be a great fit for you? Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly a distinctive skill set in a rapidly growing field. Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</p><p></p></section>

<div><div><b>What we offer</b></div><div>Coached by a senior profile, you will be evolving in the fast-paced environment of digital advertising. You will become an expert on the implementation and the setup of Google Analytics, the main pixel management tool on the market (GTM, Segment, Facebook pixel) as well as cutting-edge data-management tool (Looker Studio, Tableau, Big Query…) and automation processes in general.</div><div><br></div><div><b>What you will be responsible for</b></div><div><ul><li><span >Design and set up data collection system (pixels) to optimize visibility on traffic acquisition and behavior </span></li><li><span >Build data architecture by consolidating various data sources to serve as the back end for dynamic dashboards </span></li><li><span >Automate bespoke processes by implementing scripts in different languages</span></li><li><span >Interface various tools (CRM, DSP, Dashboards) to scale processes</span></li></ul><span ></span></div><div>As we are a fast-growing company, your missions and responsibilities will evolve along with our activity and your experience.</div><div><b><br></b></div><div><b>Who we are looking for</b></div><div><b>Absolute must-haves:</b></div><div><br></div><div><ul><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation"><span >Installation &amp; Architecture experience with Google Analytics</span></p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation"><span >Ability to read/write basic HTML/JavaScript</span></p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation"><span >Experience in tag architecture and analysis using tagging platforms including Google Tag Manager (GTM) to execute proper data flow</span></p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation"><span >Experience reading API documentation and understanding the technical requirements for implementation with other platforms is a plus</span></p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation"><span >Familiarity with digital marketing</span></p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation"><span >Super organized, confident, empathetic, motivational and a pleasure to be around in a fast-paced environment</span></p></li></ul></div><div><br></div><div><b>Would be a competitive advantage:</b></div><div><br></div><div><span id="docs-internal-guid-911d432c-7fff-2306-2b69-1b59*******d"><ul ><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation"><span >Looker Studio, Tableau, Looker, and any other analytics &amp; visualization platforms is a plus</span></p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation"><span >Knowledge of Python or R</span></p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation"><span >Proficient in computer applications used to manipulate large datasets to analyze, test, validate and report public web usage data</span></p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation"><span >Ability to query large databases using SQL is a plus</span></p></li></ul></span></div></div><div><br></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>JOB PURPOSE &amp; SUMMARY The Data Analytics / Customer Intelligence Specialist is responsible for transforming raw consumer datasets into predictive, highly actionable commercial intelligence.<br> Operating at the intersection of data science and business strategy, this role focuses on translating intricate consumer behaviors into optimized commercial strategies.<br> The successful candidate will design robust predictive frameworks and build self-service visualization assets to guide corporate decision-making.<br> KEY RESPONSIBILITIES * Build and validate advanced propensity models to predict customer churn, upgrade behaviors, and product affinity.<br> * Perform granular behavioral analytics on multi-structured datasets to uncover hidden patterns, journey friction points, and engagement lifecycle stages.<br> * Own the design, deployment, and optimization of end-to-end commercial analytics frameworks that directly measure marketing ROI and portfolio performance.<br> * Develop, maintain, and refresh corporate dashboards utilizing Power BI or Tableau to provide automated, real-time metrics for executive leadership.<br> * Extract, clean, and manipulate heavy transactional and profile records from central enterprise data warehouses.<br> * Act as an analytical business partner, converting data findings into commercial recommendations for product development and marketing departments.<br> JOB REQUIREMENTS &amp; QUALIFICATIONS * Experience : 3 to 7 years of specialized professional experience in an analytics-focused capacity.<br> * Domain Background : Prior exposure to banking analytics, customer intelligence divisions, predictive statistical teams, or sophisticated commercial analysis environments.<br> * Technical Exposure (Preferred): Deep, demonstrable proficiency utilizing SQL for database querying/ data manipulation and Python for statistical modeling.<br> * Visualization Stack : Strong hands-on experience building structured, production-ready interactive visual dashboards in Power BI or Tableau.<br> * Analytical Specialties : Direct experience applying predictive modeling techniques (such as propensity modelling) and executing behavioral analytics tracks.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p><strong>Data Center Logistics Specialist II</strong></p><p><strong>Role Purpose</strong>:</p><p>Perform logistics duties within a data center including inventory management, asset management, and data management. Role is responsible for execution and prioritization of daily operational activities, completion of tasks within SLA and quality standards, and maintenance of high productivity while balancing accuracy and safety.</p><p><strong>Key Accountabilities</strong>:</p><ul><li>Be able to complete the role and responsibility of a Data Center Specialist</li><li>Adjust workflows and priorities to meet operational demands</li><li>Communicate and delegate workload changes within scope of responsibility to hit tasks within SLA and quality standards</li><li>Investigate and resolve discrepancies within defined thresholds</li><li>Ensure proper tracking, labeling, and chain of custody of inventory</li><li>Identify and enforce adherence to established SOPs, safety protocols, and handling guidelines</li><li>Support audit readiness and corrective actions</li><li>Communicate risks to SLA performance early and clearly</li><li>Assist with identifying root causes of errors, delays, or process breakdowns</li><li>Take immediate corrective actions within authority</li><li>Use escalation pathways appropriately for complex issues</li><li>Provide timely, accurate updates to stakeholders</li><li>Support seamless workflow handoffs</li><li>Support implementation of new workflows, tools, or layouts</li><li>Share and communicate best practices across shifts or teams</li><li>Identify and escalate safety risks or hazards immediately</li><li>Participate in safety initiatives and reporting</li><li>Demonstrate reliability and consistency in performance</li></ul><p><strong>Required Education and Experience:</strong></p><ul><li>High School Diploma or equivalent, required.</li><li>Ability to read, write, and speak English</li><li>Previous experience in a data center desirable</li><li>Ability to utilize computer</li></ul><p></p><p ><strong>Our organization is an equal opportunity employer</strong></p>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a UX Researcher, Data Analyst & Optimization Specialist based in Saudi Arabia.<br><br>This role sits at the intersection of UX research, data analytics, and digital optimization, helping teams make smarter decisions through evidence-based insights.<br><br>You will transform user behavior data into actionable recommendations that improve customer experiences and business outcomes.<br><br>The position combines quantitative analysis with qualitative research to uncover not only what users do, but why they behave that way.<br><br>You will build journey maps, analyze conversion funnels, measure customer value, and support experimentation strategies.<br><br>Working closely with UX, design, and development teams, you will help create impactful improvements across digital experiences.<br><br>This opportunity is ideal for a data-driven researcher who enjoys solving complex problems and turning insights into measurable results.<br><br>Accountabilities<br><br>The UX Researcher, Data Analyst & Optimization Specialist is responsible for creating the analytical and research foundation behind optimization initiatives. This role combines data expertise, user research, experimentation, and cross-functional collaboration to identify opportunities and support impactful digital improvements.<br><br>Build and maintain detailed customer journey maps and conversion funnels across key user touchpoints. Analyze user behavior to identify friction points, drop-off areas, and opportunities for improving digital experiences. Conduct quantitative analysis using tools such as Google Analytics 4, Shopify analytics, and related data platforms. Develop and maintain LTV cohort analyses to connect user experience improvements with long-term customer value. Ensure data accuracy, reliability, and integrity when collecting, validating, and interpreting performance insights. Apply statistical principles to evaluate findings and ensure recommendations are supported by meaningful data. Plan and conduct qualitative research activities, including usability testing, heuristic evaluations, and user interviews. Combine qualitative and quantitative insights to create a complete understanding of user behavior. Create research artifacts such as user flows, journey maps, wireflows, and prototypes to communicate findings. Collaborate with developers to implement event tracking, improve measurement infrastructure, and maintain data visibility. Support GA4 funnel creation, custom event tracking, and ongoing tracking quality assurance. Contribute to A/B testing programs by defining hypotheses, measuring outcomes, and analyzing business impact. Evaluate the long-term effects of UX changes on conversion, retention, and customer value. Develop clear reports, dashboards, and presentations that transform complex analysis into actionable recommendations. Partner with UX, design, development, and project teams to move insights into implemented improvements. Manage multiple projects and deliver research and analysis according to business priorities.<br><br>Requirements<br><br>The ideal candidate combines strong analytical expertise, UX research capabilities, and communication skills. They should be comfortable working with large datasets, conducting user research, and collaborating with multidisciplinary teams in a fast-paced environment.<br><br>4-7 years of experience in e-commerce, UX research, product analytics, data analysis, or similar fields. Strong experience with Google Analytics, Shopify ecosystems, and A/B testing platforms. Solid understanding of quantitative analysis, statistics, and data visualization techniques. Experience with journey mapping, funnel analysis, and LTV cohort analysis. Knowledge of experimentation best practices, including hypothesis development and test design. Strong understanding of user-centered design principles and design thinking methodologies. Ability to combine qualitative and quantitative research methods to solve complex problems. Experience creating reports, dashboards, and presentations that communicate insights effectively. Ability to create UX artifacts such as wireframes, prototypes, user flows, and wireflows. Experience collaborating with developers, designers, and project management teams. Strong problem-solving skills with a structured and analytical approach. Excellent written and verbal communication skills. Ability to work independently while following strategic direction and managing multiple priorities. Experience working with multiple clients or projects in a fast-paced environment is preferred.<br><br>Benefits<br><br>Remote-first work environment with flexibility. Comprehensive medical, dental, vision, disability, and life insurance coverage. Employer contributions to retirement savings plans. Employee assistance program. Generous paid time off starting at 20 days annually, plus holidays. Annual winter company shutdown between Christmas and New Year’s for additional time to recharge. Paid parental leave. Company events, team activities, and retreats. Budget for professional development and continuing education. Competitive compensation aligned with experience, skills, and location.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<b>Join Our Team as a Sports Data Collector!</b><br><br>Genius Sports is a leading global sports technology company that manages official live data for major leagues, federations, and media platforms. If you are passionate about sports, this is your chance to turn that passion into a rewarding experience.<br><br><b>What You’ll Do:</b><ul><li>Attend live sports events in your local area, including competitions in the Saudi Arabia First Division and lower-profile events.</li><li>Record accurate, real-time game data, including scores, plays, and key events.</li><li>Utilize mobile technology in fast-paced, live environments.</li></ul><br><b>What We’re Looking For:</b><ul><li>Strong knowledge of the sport.</li><li>Reliable, detail-oriented, and organized individuals.</li><li>Availability on evenings and weekends.</li><li>Must be 18 years or older.</li></ul><br><b>What We Offer:</b><ul><li>Fixed payment per game of 55 €.</li><li>Flexible, game-based work schedules.</li><li>Comprehensive training and testing provided.</li><li>Opportunities to increase earnings based on performance.</li></ul><br><b>Interested?</b> Tell us a bit about yourself, and we will be in touch soon. Genius Sports is an equal opportunities employer.

Job Title: Data Center Security Manager Location: Riyadh, Saudi Arabia Company: Ezditek Role Overview:We are seeking an experienced and vigilant Data Center Security Manager to lead and oversee all physical security operations across Ezditek's data center facilities. The role is responsible for developing and implementing comprehensive security strategies, managing security teams and contractors, ensuring compliance with data center security standards, and protecting critical infrastructure, assets, and personnel. This position plays a critical role in safeguarding mission-critical environments, maintaining 24/7 security operations, ensuring regulatory compliance with Saudi and international standards, and supporting business continuity across Ezditek's hyper-scale data center portfolio. Key Responsibilities:Security Strategy & Planning Develop, implement, and continuously improve comprehensive physical security strategies, policies, and procedures for all data center facilities. Conduct security risk assessments, threat analysis, and vulnerability evaluations to identify and mitigate potential risks to data center operations. Design and implement multi-layered security frameworks including perimeter protection, access control zones, and critical infrastructure protection. Develop and maintain security master plans aligned with Uptime Institute standards, ISO 27001, SOC 2, and industry best practices. Align security strategies with business objectives, client requirements, and regulatory standards. Prepare and manage security budgets, forecasts, and capital expenditure plans. Physical Security Operations Oversee 24/7 physical security operations across all data center sites including guard force management, patrol schedules, and shift rotations. Manage and monitor access control systems, biometric authentication, CCTV/surveillance systems, intrusion detection systems, and alarm monitoring platforms. Implement and enforce multi-tier access control protocols for different security zones including facility perimeter, white space, grey space, meet-me rooms, and critical infrastructure areas. Ensure proper visitor management procedures, escort protocols, and contractor access controls are maintained. Conduct regular security inspections, audits, and walkthroughs of all data center facilities. Manage vehicle access, loading dock security, and delivery/receiving procedures. Oversee key management, badge management, and credential issuance programs. Security Technology & Systems Management Oversee the design, installation, maintenance, and optimization of physical security technology systems including CCTV, access control, biometrics, intrusion detection, and perimeter protection systems. Manage Security Operations Center (SOC) operations including real-time monitoring, alarm response, and incident coordination. Evaluate and recommend new security technologies, systems, and innovations to enhance data center protection. Ensure integration of security systems with Building Management Systems (BMS) and Data Center Infrastructure Management (DCIM) platforms. Coordinate with IT and cybersecurity teams to ensure alignment between physical and logical security controls. Maintain security system uptime and ensure redundancy for all critical security infrastructure. Team Leadership & Management Lead, manage, and develop the data center security team including security supervisors, officers, and control room operators. Oversee third-party security contractors, guard force providers, and managed security service providers. Set clear performance objectives, conduct regular performance reviews, and provide coaching and professional development. Develop and deliver security training programs, drills, and exercises for security personnel and data center staff. Ensure adequate security staffing levels across all shifts and facilities. Foster a culture of vigilance, professionalism, and excellence within the security team. Incident Response & Emergency Management Develop and maintain incident response plans, emergency procedures, and crisis management protocols for data center security events. Lead security incident investigations, produce incident reports, and drive root cause analysis to prevent recurrence. Coordinate with local law enforcement, Civil Defense, and emergency services for incident response and mutual aid. Manage emergency evacuation procedures, lockdown protocols, and shelter-in-place plans. Ensure rapid response to security breaches, unauthorized access attempts, and suspicious activities. Conduct regular emergency drills, tabletop exercises, and scenario-based training. Serve as a primary escalation point for all security-related incidents and emergencies. Compliance & Regulatory Adherence Ensure compliance with Saudi regulations including National Cybersecurity Authority (NCA) physical security requirements, Civil Defense regulations, and local municipality requirements. Maintain compliance with international data center security standards including ISO 27001 (Annex A physical security controls), SOC 2 Type II, PCI DSS physical security requirements, and Uptime Institute guidelines. Prepare and maintain documentation for security audits, certifications, and regulatory assessments. Support client security audits, due diligence visits, and compliance assessments. Stay updated on evolving security regulations, threats, and industry standards. Ensure compliance with tenant security requirements and Service Level Agreements (SLAs). Tenant & Stakeholder Coordination Coordinate with tenants including hyperscalers, government entities, and enterprise clients on security requirements, access procedures, and compliance matters. Support tenant onboarding and offboarding processes from a security perspective. Manage tenant security requests, access authorizations, and escort coordination. Participate in tenant meetings, service reviews, and security briefings. Collaborate with operations, facilities management, and project delivery teams to ensure security considerations are integrated into all activities. Maintain effective relationships with internal and external stakeholders including regulatory bodies, law enforcement, and security vendors. Business Continuity & Threat Intelligence Support business continuity planning and disaster recovery activities from a physical security perspective. Monitor regional and global threat landscapes, security trends, and emerging risks relevant to data center operations. Develop and maintain threat intelligence capabilities and information-sharing partnerships. Conduct security awareness programs for all data center staff and contractors. Assess and mitigate insider threats, social engineering risks, and unauthorized access attempts. Documentation & Reporting Prepare regular security reports, dashboards, and metrics for the Director of Operations and senior management. Maintain comprehensive security documentation including policies, procedures, post orders, and operational guidelines. Track and report on security KPIs including incident response times, access control compliance, system uptime, and audit results. Maintain accurate records of security incidents, investigations, access logs, and visitor management. Produce monthly, quarterly, and annual security performance reports. Qualifications:Bachelor's degree in Security Management, Criminal Justice, Engineering, Information Technology, or a related field. Fluency in English (written and spoken) is mandatory. Proficiency in Arabic is highly preferred. Minimum 8–12 years of progressive experience in security management, with at least 3–5 years in a data center, critical infrastructure, or mission-critical facility environment. Professional security certifications are mandatory (one or more of the following): CPP (Certified Protection Professional), PSP (Physical Security Professional), or equivalent. Additional certifications such as CISSP, CISM, or data center-specific certifications (CDCP, CDCS) are a strong advantage. Strong hands-on experience with physical security systems including CCTV, access control, biometrics, intrusion detection, and SOC operations. Knowledge of ISO 27001, SOC 2, PCI DSS physical security requirements, and Uptime Institute standards. Familiarity with Saudi NCA regulations, Civil Defense requirements, and local security regulations. Experience managing security operations in 24/7 mission-critical environments. Experience with security vendor management and contract administration. Master's degree in Security Management or related field is an advantage. Key Competencies:Strong security leadership and strategic planning expertise. Deep knowledge of data center physical security standards and best practices. Excellent crisis management and incident response capabilities. Strong understanding of security technology systems and integration. Regulatory compliance and audit management expertise. Exceptional stakeholder management and communication skills. Analytical thinking and risk assessment capabilities. Team leadership and people development skills. Calm under pressure with strong decision-making abilities. High level of integrity, professionalism, and confidentiality. Adaptability and willingness to respond outside duty hours for emergencies.

Job Title – Kafka Architect / Streaming Data Architect Company – TCS (MEA) Location – Jeddah, KSAJob type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:Key Responsibilities<br> Architecture & Design Design enterprise-scale Kafka architecture aligned with Bank Lakehouse (Medallion - Bronze/Silver/Gold). Define event-driven architecture patterns for real-time ingestion and processing. Establish topic strategy, partitioning, replication, retention policies. Architect multi-cluster Kafka setup (dev/test/prod, DR strategy). Ensure exact point-in-time recovery and fault tolerance.<br> Platform Implementation Lead setup and configuration of:Kafka brokers, Zookeeper / Kraft mode Kafka Connect framework Schema Registry Stream processing (Kafka Streams / Spark Streaming / Flink) Integrate Kafka with:Cloudera Data Platform (CDP) Informatica (for ETL/ELT) Data Warehouse (Teradata) Denodo (for virtualization layer)<br> Real-Time Data Engineering Design pipelines for:Event streaming ingestion Near real-time batch ingestion Build CDC (Change Data Capture) pipelines using Kafka Connect (Debezium). Enable ingestion from source systems . Support incremental and historical loads integration.<br> Performance & Scalability Ensure:High throughput and low latency Support for concurrent consumers without degradation Optimize:Partition strategy Consumer group scaling Producer configurations (acks, batching, compression)<br> Resilience & Reliability Implement:Failover strategies Data replication and durability (<99.9% uptime requirement) Handle:Hardware failures Data corruption scenarios Design retry, dead-letter queues (DLQ), error handling frameworks<br>Data Governance & Security Enforce:Role-Based Access Control (RBAC) Encryption (in transit & at rest) Data masking/tokenization support (aligned with classification) Integrate with:Metadata and lineage tools Governance frameworks (NDMO/NDI compliance)<br> Monitoring & Operations Implement monitoring using:Cloudera Manager Kafka metrics (JMX, Prometheus, Grafana) Define:Alerting thresholds SLA monitoring for ingestion pipelines Ensure observability for:Lag monitoring Throughput and error rates<br> Phase 1 Remediation Support Assess existing Kafka pipelines and components. Identify:Defective pipelines Missing ingestion flows Redesign/rebuild where required. Ensure alignment with target architecture and data models (FSLDM/FSAS).<br> Reporting Enablement Support Ensure:Real-time data availability for downstream reporting Support:Query performance optimization Data consistency across Bronze/Silver/Gold Resolve issues impacting reporting (data mismatches, delays).<br> Documentation & Governance Deliver:High-level architecture design Low-level design (LLD) for Kafka pipelines Topic catalog and schema definitions Maintain:Data lineage documentation Source-to-target mappings Participate in:Architecture governance boards Change management processes<br>Key Technical Skills Core Technologies Cloudera Kafka (mandatory) Kafka Connect, Kafka Streams Schema Registry (Avro/Protobuf/JSON) Ecosystem Tools Cloudera (CDP) Apache Spark / Spark Streaming Apache Flink (preferred) Informatica (integration awareness) Teradata Denodo Data & Integration CDC tools (Debezium preferred) REST APIs, Microservices integration ETL/ELT Design patterns Dev Ops & Infra Kubernetes / Docker (optional but preferred) CI/CD for pipeline deployment Linux environments Banking Domain Experience (Mandatory) Experience in BFSI domain Understanding of:Regulatory reporting Data reconciliation (≥99% accuracy) AML, Payments, Trade finance systems<br>Soft Skills Strong stakeholder management (business + IT) Ability to work in multi-vendor environment Experience in large-scale transformation programs Strong problem-solving and RCA skills<br>Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.<br>Application Deadline: 30- July -2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

Job Title: Senior Project Manager - Main Contractor - Construction – Data Centres Location: Saudi Arabia Sector: Mission-Critical / Data Centres Employer: Tier-One Main Contractor Role Overview An international main contractor is seeking an experienced Senior Project Manager to lead the delivery of a major data centre project in Saudi Arabia. This is a senior, site-based role with full responsibility for end-to-end project delivery, from mobilisation through commissioning and handover. The project is technically complex, MEP-intensive and delivered to strict end-user requirements. Key Responsibilities Full responsibility for project delivery including programme, cost, quality, HSE and commercial performance Lead and manage site-based project teams including Construction, Engineering, Commercial and Planning functions Manage and coordinate MEP-heavy scopes, interfaces and sequencing critical to data centre delivery Oversee subcontractor procurement, performance and compliance Drive programme certainty, identifying and mitigating risks to the critical path Chair client, consultant and stakeholder coordination meetings Ensure compliance with Saudi regulations, approvals and project governance Lead commissioning, testing and handover activities in line with mission-critical standards Maintain high standards of HSE, quality assurance and reporting Provide accurate and timely reporting to senior leadership Required Experience & Background Proven background with a main contractor delivering data centre or mission-critical projects Demonstrable experience on large-scale data centre builds (hyperscale or colocation) Strong MEP coordination and commissioning experience Previous experience working in Saudi Arabia or the wider GCCTrack record of managing large, multidisciplinary site teams Strong commercial and contractual awareness from a contractor perspective Experience dealing with demanding end users and strict performance requirements Qualifications Degree in Engineering, Construction Management or a related discipline Professional certifications (PMP, CIOB, etc.) advantageous Working knowledge of FIDIC contracts preferred Key Attributes Delivery-focused with a strong problem-solving mindset Comfortable operating in high-pressure, live project environments Strong leadership and decision-making capability Confident client-facing communicator Willing to be site-based in Saudi Arabia Why This Role Lead a flagship data centre project in Saudi Arabia Long-term pipeline of mission-critical work in the region Opportunity to take full ownership of a high-profile build

Job Title – Data Architect Company – TCS (MEA) Location – Riyadh, Saudi Arabia Job type – Full time<br><br>About UsTata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br>Data Architect :Associate should have good experience on Data ware house concepts, Informatica suite, Oracle, PLSQL, Data virtualization. Data modeling concepts ( nice to have) Exp > 12 Yrs Good communication skills,Banking experience Any nationality Joining : At the earliest.<br><br>Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.<br><br>Application Deadline: 8- August -2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

ENGIE SOLUTIONS MIDDLE EASTENGIE Solutions is part of the ENGIE Group, a global reference in low-carbon energy and services, with more than 96,000 employees. At ENGIE Solutions, we believe in providing solutions, not just services. We bring to the table integrated, tailor-made, financed, technology-enabled, and data-driven facility management solutions that improve energy and asset performance for cities, communities, industries, and properties. The company is committed to investing in countries through empowering the local workforce, implementing smart technology solutions and know-how, and delivering financed and guaranteed energy-efficient projects for our customers.<br>All interested applicants can also email their CVs to careers.escl@dhowsolutions.com with a subject line of “Data Center Mechanical Engineer” mentioning their availability.<br>Industry: Facilities Management Job Title: Data Center Mechanical Engineer Position Reports to: Data Center Facility Manager Location: Dammam, Saudi Arabia<br>SUMMARY: The Mechanical Engineer performs daily on-going monitoring (BMS) and planned maintenance activities to all electrical and mechanical infrastructure equipment that make up the data center environment. Oversee that WOs generated from CAFM are performed on time.<br>PRIMARY FUNCTIONS AND ESSENTIAL RESPONSIBILITIES:Responsible for adhering to and implementing all facility guidelines and procedures related to his/her work. Responsible for developing all MoPs for all (minor) preventive maintenance activities according to vendors/OEM Operation Manuals. Responsible for following SOPs and EOPs during preventive and corrective maintenance. Responsible for executing and filling Work Orders, verifying minor maintenance tasks performed by on site Technicians, and witnessing major maintenance tasks performed by Vendors. Responsible for verifying isolation, shut down, start-up, emergency shut-down and restoration procedures of all data center facility infrastructure equipment whenever needed. Responsible for performing daily walk rounds, monitoring Building Management System (BMS), and for clearing all critical and minor alarms on both equipment control panel and BMS workstation. Responsible for conducting periodic testing on Engine Generators without load, and without utility. Responsible for switching and managing rotating equipment and maintaining redundancy. Responsible for responding to unplanned events and emergency scenarios, and for sustaining data center operations. Responsible for escalating emergency failures and alarms to Facility Maintenance Supervisor and Vendors. Responsible for maintaining tools calibrated and in good condition. Responsible for managing spare parts and consumables inventories on site and keeping them up-to-date. Report any required changes to the executed procedures in the Work Order once completed. Advise on any enhancement to be made to the current SOPs, EOPs, and MoPs through formal change request. Responsible for executing any required change to the facility (set point, redundancy rotation, labelling….).<br>EDUCATION / CERTIFICATION / KNOWLEDGE:Bachelor degree in Mechanical Engineering. A very good understanding of electrical and mechanical systems in use in the data center including transformers, generators, switchgears, UPS, PDU, chillers, Computer Room Air Handlers (CRAH), FCUs, chilled water pumps, fuel system, etc. Knowledge of engineering design calculations, principles, codes and standards for both mechanical and electrical disciplines. Very familiar with Health & Safety guidelines and procedures, especially for operating electrical or energized equipment. Demonstrate proficiency in the Microsoft Office environment including Word, Excel, Power Point and Outlook.<br>EXPERIENCE:Requires minimum 5 years of relevant work experience in Data Center. Have experience in MEP equipment specifications, performance requirements, operating conditions, redlines, and site configurations, as well as startup/shutdown, LOTO and isolation. Have experience in BMS monitoring and alarm management.<br>SKILLS/ABILITIES:Ability to address any issues or incidents that arise in the data center, day or night. Ability to respond to emergency scenarios and to report problem accurately to Vendors and Facility Maintenance Supervisor. Ability to diagnose root cause of equipment failures. Adaptable, ability to handle multiple tasks at the same time. Ability to provide direction to electrical and mechanical Technicians. Ability to work a rotational on-call shift. Ability to work under pressure, adaptable, ability to multi-task. Strong verbal and written communication skills.

ENGIE SOLUTIONS MIDDLE EASTENGIE Solutions is part of the ENGIE Group, a global reference in low-carbon energy and services, with more than 96,000 employees. At ENGIE Solutions, we believe in providing solutions, not just services. We bring to the table integrated, tailor-made, financed, technology-enabled, and data-driven facility management solutions that improve energy and asset performance for cities, communities, industries, and properties. The company is committed to investing in countries through empowering the local workforce, implementing smart technology solutions and know-how, and delivering financed and guaranteed energy-efficient projects for our customers.<br>All interested applicants can email their CVs to careers.escl@dhowsolutions.com with a subject line of “Data Center Mechanical Engineer” mentioning their availability.<br>Industry: Facilities Management Job Title: Data Center Mechanical Engineer Position Reports to: Data Center Facility Manager Location: Dammam, Saudi Arabia<br>SUMMARY: The Mechanical Engineer performs daily on-going monitoring (BMS) and planned maintenance activities to all electrical and mechanical infrastructure equipment that make up the data center environment. Oversee that WOs generated from CAFM are performed on time.<br>PRIMARY FUNCTIONS AND ESSENTIAL RESPONSIBILITIES:Responsible for adhering to and implementing all facility guidelines and procedures related to his/her work. Responsible for developing all MoPs for all (minor) preventive maintenance activities according to vendors/OEM Operation Manuals. Responsible for following SOPs and EOPs during preventive and corrective maintenance. Responsible for executing and filling Work Orders, verifying minor maintenance tasks performed by on site Technicians, and witnessing major maintenance tasks performed by Vendors. Responsible for verifying isolation, shut down, start-up, emergency shut-down and restoration procedures of all data center facility infrastructure equipment whenever needed. Responsible for performing daily walk rounds, monitoring Building Management System (BMS), and for clearing all critical and minor alarms on both equipment control panel and BMS workstation. Responsible for conducting periodic testing on Engine Generators without load, and without utility. Responsible for switching and managing rotating equipment and maintaining redundancy. Responsible for responding to unplanned events and emergency scenarios, and for sustaining data center operations. Responsible for escalating emergency failures and alarms to Facility Maintenance Supervisor and Vendors. Responsible for maintaining tools calibrated and in good condition. Responsible for managing spare parts and consumables inventories on site and keeping them up-to-date. Report any required changes to the executed procedures in the Work Order once completed. Advise on any enhancement to be made to the current SOPs, EOPs, and MoPs through formal change request. Responsible for executing any required change to the facility (set point, redundancy rotation, labelling….).<br>EDUCATION / CERTIFICATION / KNOWLEDGE:Bachelor degree in Mechanical Engineering. A very good understanding of electrical and mechanical systems in use in the data center including transformers, generators, switchgears, UPS, PDU, chillers, Computer Room Air Handlers (CRAH), FCUs, chilled water pumps, fuel system, etc. Knowledge of engineering design calculations, principles, codes and standards for both mechanical and electrical disciplines. Very familiar with Health & Safety guidelines and procedures, especially for operating electrical or energized equipment. Demonstrate proficiency in the Microsoft Office environment including Word, Excel, Power Point and Outlook.<br>EXPERIENCE:Requires minimum 5 years of relevant work experience in Data Center. Have experience in MEP equipment specifications, performance requirements, operating conditions, redlines, and site configurations, as well as startup/shutdown, LOTO and isolation. Have experience in BMS monitoring and alarm management.<br>SKILLS/ABILITIES:Ability to address any issues or incidents that arise in the data center, day or night. Ability to respond to emergency scenarios and to report problem accurately to Vendors and Facility Maintenance Supervisor. Ability to diagnose root cause of equipment failures. Adaptable, ability to handle multiple tasks at the same time. Ability to provide direction to electrical and mechanical Technicians. Ability to work a rotational on-call shift. Ability to work under pressure, adaptable, ability to multi-task. Strong verbal and written communication skills.

ENGIE SOLUTIONS MIDDLE EASTENGIE Solutions is part of the ENGIE Group, a global reference in low-carbon energy and services, with more than 96,000 employees. At ENGIE Solutions, we believe in providing solutions, not just services. We bring to the table integrated, tailor-made, financed, technology-enabled, and data-driven facility management solutions that improve energy and asset performance for cities, communities, industries, and properties. The company is committed to investing in countries through empowering the local workforce, implementing smart technology solutions and know-how, and delivering financed and guaranteed energy-efficient projects for our customers.<br>All interested applicants can email their CVs to careers.escl@dhowsolutions.com with a subject line of “Data Center Electrical Engineer” mentioning their availability.<br>Industry: Facilities Management Job Title: Data Center Electrical Engineer Position Reports to: Data Center Facility Manager Location: Dammam, Saudi Arabia<br>SUMMARY: The Electrical Engineer performs daily on-going monitoring (BMS) and planned maintenance activities to all electrical and mechanical infrastructure equipment that make up the data center environment. Oversee that WOs generated from CAFM are performed on time.<br>PRIMARY FUNCTIONS AND ESSENTIAL RESPONSIBILITIES:Responsible for adhering to and implementing all facility guidelines and procedures related to his/her work. Responsible for developing all MoPs for all (minor) preventive maintenance activities according to vendors/OEM Operation Manuals. Responsible for following SOPs and EOPs during preventive and corrective maintenance. Responsible for executing and filling Work Orders, verifying minor maintenance tasks performed by on site Technicians, and witnessing major maintenance tasks performed by Vendors. Responsible for verifying isolation, shut down, start-up, emergency shut-down and restoration procedures of all data center facility infrastructure equipment whenever needed. Responsible for performing daily walk rounds, monitoring Building Management System (BMS), and for clearing all critical and minor alarms on both equipment control panel and BMS workstation. Responsible for conducting periodic testing on Engine Generators without load, and without utility. Responsible for switching and managing rotating equipment and maintaining redundancy. Responsible for responding to unplanned events and emergency scenarios, and for sustaining data center operations. Responsible for escalating emergency failures and alarms to Facility Maintenance Supervisor and Vendors. Responsible for maintaining tools calibrated and in good condition. Responsible for managing spare parts and consumables inventories on site and keeping them up-to-date. Report any required changes to the executed procedures in the Work Order once completed. Advise on any enhancement to be made to the current SOPs, EOPs, and MoPs through formal change request. Responsible for executing any required change to the facility (set point, redundancy rotation, labelling….).<br>EDUCATION / CERTIFICATION / KNOWLEDGE:Bachelor degree in Electrical Engineering. A very good understanding of electrical and mechanical systems in use in the data center including transformers, generators, switchgears, UPS, PDU, chillers, Computer Room Air Handlers (CRAH), FCUs, chilled water pumps, fuel system, etc. Knowledge of engineering design calculations, principles, codes and standards for both mechanical and electrical disciplines. Very familiar with Health & Safety guidelines and procedures, especially for operating electrical or energized equipment. Demonstrate proficiency in the Microsoft Office environment including Word, Excel, Power Point and Outlook.<br>EXPERIENCE:Requires minimum 5 years of relevant work experience in Data Center. Have experience in MEP equipment specifications, performance requirements, operating conditions, redlines, and site configurations, as well as startup/shutdown, LOTO and isolation. Have experience in BMS monitoring and alarm management.<br>SKILLS/ABILITIES:Ability to address any issues or incidents that arise in the data center, day or night. Ability to respond to emergency scenarios and to report problem accurately to Vendors and Facility Maintenance Supervisor. Ability to diagnose root cause of equipment failures. Adaptable, ability to handle multiple tasks at the same time. Ability to provide direction to electrical and mechanical Technicians. Ability to work a rotational on-call shift. Ability to work under pressure, adaptable, ability to multi-task. Strong verbal and written communication skills.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Data Scientist – Compliance (Banking) to develop, validate, and deploy advanced analytics and machine learning solutions that support regulatory compliance, financial crime prevention, and risk management initiatives within the banking environment.<br> The ideal candidate will combine strong technical expertise in data science with deep knowledge of banking regulations, AML/KYC processes, sanctions screening, and model risk management frameworks.<br> This role requires delivering robust, explainable, and audit-ready models that meet regulatory expectations and business objectives.<br> Key Responsibilities Design, develop, validate, and monitor machine learning and statistical models for compliance, financial crime detection, and risk management use cases.<br> Build predictive and anomaly detection models supporting AML, KYC, sanctions screening, transaction monitoring, customer risk scoring, and fraud detection programs.<br> Ensure all models comply with internal governance standards, regulatory requirements, and model risk management frameworks.<br> Perform model validation, performance testing, stability analysis, bias assessment, and explainability reviews.<br> Develop and maintain comprehensive model documentation, validation reports, and audit-ready artifacts.<br> Collaborate with Compliance, Risk, Financial Crime, Technology, and Data Engineering teams to translate business requirements into analytical solutions.<br> Analyze large-scale structured and unstructured datasets to identify patterns, trends, and emerging compliance risks.<br> Implement model monitoring frameworks, performance dashboards, and periodic model reviews.<br> Support internal audits, regulatory examinations, and independent model validation exercises.<br> Stay current with evolving regulatory requirements, industry best practices, and advancements in AI/ML technologies.<br> Mentor junior data scientists and contribute to the establishment of data science best practices and governance standards.<br> Required Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Finance, or a related quantitative discipline.<br> 6–8+ years of experience in Data Science, Machine Learning, or Advanced Analytics within Banking or Financial Services .<br> Strong programming expertise in Python and SQL .<br> Hands-on experience with machine learning libraries and frameworks including scikit-learn , XGBoost , PyTorch , and/or TensorFlow .<br> Experience developing and validating classification, anomaly detection, forecasting, and risk-scoring models.<br> Strong understanding of Model Risk Management (MRM) frameworks, model governance, and validation methodologies.<br> Knowledge of banking regulatory requirements and compliance controls.<br> Experience working with cloud and big-data ecosystems is an advantage.<br> Domain Expertise Anti-Money Laundering (AML) Know Your Customer (KYC) Customer Due Diligence (CDD) / Enhanced Due Diligence (EDD) Sanctions Screening Transaction Monitoring Financial Crime Risk Management Regulatory Compliance and Reporting Preferred Skills Experience with explainable AI (XAI) techniques and model interpretability tools.<br> Knowledge of regulatory expectations related to AI/ML model governance in financial institutions.<br> Familiarity with MLOps, model deployment, monitoring, and lifecycle management.<br> Strong analytical thinking, problem-solving, and stakeholder management skills.<br> Excellent communication and documentation abilities with experience presenting to risk, compliance, audit, and senior leadership teams.<br> Success Metrics Delivery of compliant, accurate, and explainable machine learning models.<br> Successful completion of model validation and regulatory reviews.<br> Reduction in false positives and improved detection effectiveness in compliance programs.<br> High-quality audit-ready documentation and governance adherence.<br> Effective collaboration with Compliance, Risk, and Technology stakeholders.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Location: Jeddah, Saudi Arabia | Mode of Work: Onsite(Work from client office) | Years of Experience: 7+yrs | Term: 6-month <br>About Neostats Analytics:<br>Neo Stats is a new-age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.<br>About the Job:<br>We are seeking a Senior Data Science Consultant – Cards Marketing Analytics to join our team in Jeddah, Saudi Arabia. This role involves leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios. The ideal candidate will have extensive experience in banking analytics, particularly in cards marketing, and will play a pivotal role in delivering actionable insights to client teams.<br>Responsibilities:<br>Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn. Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization. Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights. Design test-and-learn frameworks, including control groups, campaign measurement logic, and post-campaign performance reviews. Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption.<br>Requirements:<br>Minimum 7–8 years of experience in data science, advanced analytics, or analytics consulting. Strong banking experience, particularly with credit card and debit card products. Proven expertise in marketing analytics, predictive modeling, customer segmentation, campaign analytics, and portfolio analytics. Proficiency in Python, SAS, and SQL, with hands-on experience working with large banking datasets, including customer profiles, card transactions, and campaign history. Strong understanding of statistical modeling, machine learning, model validation, and performance tracking. Ability to clearly communicate analytical outputs to business stakeholders and prepare senior-level presentations, reports, and documentation. Experience working with marketing, product, risk, and data teams in a banking environment. Consulting discipline, including structured problem-solving, ownership, and timely delivery. Must be comfortable working as a contractor on a client-facing engagement in Saudi Arabia.<br>Preferred Qualifications:<br>Current location in Saudi Arabia, ideally Jeddah. Experience in the Saudi or GCC banking market. Exposure to card lifecycle analytics, including acquisition, activation, usage, spend growth, retention, and attrition. Familiarity with campaign management platforms, CRM systems, or marketing automation tools. Experience with A/B testing, uplift modeling, next-best-action, offer optimization, or customer lifetime value models. Knowledge of cloud-based data platforms and modern analytics environments.<br>What we offer:<br>Competitive Salary and Benefits Opportunity to be part of a fast-paced and growing startup. Grow your career with the company Ownership - You will own your initiative and be given specific responsibilities Continuous coaching & mentoring – You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment – we truly value you

Location: Jeddah, Saudi Arabia | Mode of Work: Onsite(Work from client office) | Years of Experience: 7+yrs | Term: 12-month <br>About Neostats Analytics:<br>Neo Stats is a new-age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.<br>About the Job:<br>We are seeking a Senior Data Science Consultant – Cards Marketing Analytics to join our team in Jeddah, Saudi Arabia. This role involves leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios. The ideal candidate will have extensive experience in banking analytics, particularly in cards marketing, and will play a pivotal role in delivering actionable insights to client teams.<br>Responsibilities:<br>Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn. Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization. Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights. Design test-and-learn frameworks, including control groups, campaign measurement logic, and post-campaign performance reviews. Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption.<br>Requirements:<br>Minimum 7–8 years of experience in data science, advanced analytics, or analytics consulting. Strong banking experience, particularly with credit card and debit card products. Proven expertise in marketing analytics, predictive modeling, customer segmentation, campaign analytics, and portfolio analytics. Proficiency in Python, SAS, and SQL, with hands-on experience working with large banking datasets, including customer profiles, card transactions, and campaign history. Strong understanding of statistical modeling, machine learning, model validation, and performance tracking. Ability to clearly communicate analytical outputs to business stakeholders and prepare senior-level presentations, reports, and documentation. Experience working with marketing, product, risk, and data teams in a banking environment. Consulting discipline, including structured problem-solving, ownership, and timely delivery. Must be comfortable working as a contractor on a client-facing engagement in Saudi Arabia.<br>Preferred Qualifications:<br>Current location in Saudi Arabia, ideally Jeddah. Experience in the Saudi or GCC banking market. Exposure to card lifecycle analytics, including acquisition, activation, usage, spend growth, retention, and attrition. Familiarity with campaign management platforms, CRM systems, or marketing automation tools. Experience with A/B testing, uplift modeling, next-best-action, offer optimization, or customer lifetime value models. Knowledge of cloud-based data platforms and modern analytics environments.<br>What we offer:<br>Competitive Salary and Benefits Opportunity to be part of a fast-paced and growing startup. Grow your career with the company Ownership - You will own your initiative and be given specific responsibilities Continuous coaching & mentoring – You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment – we truly value you

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.</i></p><br><br><br><p><span>Job Category</span></p><br><br>Sales<br><p><span>Job Details</span></p><br><br><br><p><span><b><b>About Salesforce</b></b></span></p><br><br><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.</p><br><br><br><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.</p><br><br><br><br><br><p>The D360 aka Data Cloud specialist team is an innovative group of sellers and GTM specialists at the heart of Salesforce’s newest innovation - D360. We are a startup within an extensive organization focused on next-generation of technology at Salesforce. This dedicated team helps Salesforce customers and prospects develop and implement strategies to take their Customer Experience efforts to a new level with Data + AI + CRM + Trust. This team is at the center of our GTM strategy connecting the dots between the D360 Product team, Product Marketing, Enablement, Customer Success &amp; Support, and Partners Ecosystem to drive growth for D360. It is a dynamic, constantly evolving environment where expertise in design, and technology is demonstrated every day to drive innovation.</p><br><br><br><p><b>Role Description</b></p><br><br><p>The D360 Technical Architect plays a pivotal role in developing innovative solutions for our customers across a variety of industries. You will work closely with Account Executives, Solutions Engineering, Product, and Product Marketing teams to provide deep technical domain expertise during the pre and post-sale process.</p><br><br><br><p>Our D360 customers are only as successful as the value they derive from the platform. You will play a key role in ensuring D360 is the right fit, help them prioritize the most valuable D360 use cases, and provide technical architecture best practices to drive product adoption.</p><br><br><br><p>You will collaborate with the broader global D360 team to develop use cases, demos, sales plays, and technical thought leadership. You will also have a meaningful role in driving our Product Roadmap forward and serve as a key advisor to the Product organization sharing innovative ideas and feedback from customers</p><br><br><br><p>It is important to have a solid technical grasp of the CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI (Generative and Predictive) landscape and the ability to effectively communicate our offerings to potential clients.</p><br><br><br><p><b>Key Responsibilities</b></p><br><br><ul><li><p>Solve Business Problems - Analyze complex business problems by conducting research and assessments to define the problem, generate innovative ideas, see opportunities, and recommend actionable solutions.</p><br><br></li><li><p>Drive Innovation &amp; Customer Adoption - Bring structure to the client's decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps customers prioritize high-value solutions, driving business impact.</p><br><br></li><li><p>Connect the “Art of the Possible” - Assist Solutions Engineers with delivering software demonstrations, rapid prototyping, and storytelling to show how connected experiences come to life with the Salesforce D360 &amp; Salesforce CRM.</p><br><br></li><li><p>Cross Platform Collaboration - You will use your understanding of customers’ use cases across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics &amp; BI, CRM and AI) to develop solutions across the Salesforce's technology stack.</p><br><br></li><li><p>Provide Technical Domain Expertise - Answer in-depth D360 questions related to data governance, security, and other technical capabilities. Create architectural diagrams, write technical thought-leadership pieces (blogs, whitepapers, etc.), documentation, enablement materials to help us stay ahead of industry trends and help our customer’s implement best practices with D360.</p><br><br></li></ul><br><p><b>Key Requirements</b></p><br><br><ul><li><p>Experience in solutions engineering/solutions architecture/technical consulting, ideally in the B2B SaaS space, particularly cloud data platforms</p><br><br></li><li><p>Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization</p><br><br></li><li><p>Understanding &amp; ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360</p><br><br></li><li><p>Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap projects in a complex business environment</p><br><br></li><li><p>Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products</p><br><br></li><li><p>Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc</p><br><br></li><li><p>Fluency in Arabic &amp; English</p><br><br></li></ul><br><p><b>Preferred Requirements</b></p><br><br><ul><li><p>Implementation or Sales Experience in Salesforce D360 and Agentforce</p><br><br></li><li><p>Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud, Marketing Cloud or any Industry Clouds</p><br><br></li><li><p>Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science</p><br><br></li><li><p>Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI.</p><br><br></li><li><p>Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform.</p><br><br></li><li><p>Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc</p><br><br></li><li><p>Familiarity with data activation or "reverse ETL" platforms in the context of Composable Data Platforms (CDP) and integrating various marketing technologies and data tools into a cohesive system.</p><br><br></li><li><p>Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)</p><br><br></li></ul><br><br><br><br><p><span>Unleash Your Potential</span></p><br><br><p><span>When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and</span><i>be your best</i><span>, and our AI agents accelerate your impact so you can</span><i>do your best</i><span>. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.</span></p><br><br><br><p><span>Accommodations</span></p><br><br><p><span>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this </span><span><u><span>Accommodations Request Form</span></u></span><span>.</span></p><br><br><br><p><span>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our </span><span><u><span>Candidate Privacy Statement</span></u></span><span> for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.</span></p><br><br><br><br><p><span>Posting Statement</span></p><br><br><p><span><span>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. </span></span>Know your rights: workplace discrimination is illegal.<span><span> Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</span></span></p><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p><strong>Data Center Logistics Specialist III</strong></p><p><strong>Role Purpose</strong>:</p><p>Coordinate and direct daily activities across assigned teams (specialists versus clerk). Drive team execution through daily performance tracking and reporting. Coordinate and delegate resources to resolve most issues. Owns process discipline and leads safety culture for data center.</p><p><strong>Key Accountabilities</strong>:</p><ul><li>Be able to complete and train to the role and responsibility of a Data Center Specialist and Data Center Clerk</li><li>Assign work based on priority, SLA, and workload balancing</li><li>Ensure all operational workflows (receiving, inventory, rack delivery, and decommissioning) are executed efficiently</li><li>Monitor real-time performance and adjust work assignments throughout the shift</li><li>Track daily performance using scorecards, dashboards, or trackers</li><li>Coach and train team productivity, accuracy, and SLA adherence</li><li>Identify performance gaps and take corrective action in real time</li><li>Provide shift-level reporting (recaps, escalation summaries, and performance updates)</li><li>Break down daily/shift plans into actionable tasks</li><li>Anticipate bottlenecks and adjust tasks proactively</li><li>Ensure alignment with upstream/downstream teams (transport, tech ops, and inventory control)</li><li>Trouble shoot workflow disruptions, delays, or errors</li><li>Resolve issues within authority and escalate appropriately when needed</li><li>Prevent recurrence through corrective actions and communications</li><li>Provide on-the-floor coaching to improve productivity and accuracy</li><li>Support onboarding and training of new team members</li><li>Reinforce SOP adherence and best practices</li><li>Act as primary point of contact for shift-level execution issues</li><li>Communicate status, risks, and priorities to leadership and partner teams</li><li>Coordinate with tech teams, transport, and inventory control on dependencies</li><li>Ensure clean handoffs between shifts or teams</li><li>Oversee inventory accuracy and discrepancy resolution</li><li>Ensure proper execution of inventory transactions and tracking</li><li>Validate adherence to SOPs and operational standards</li><li>Identify and address safety risks immediately (leading by example in safety behaviors)</li><li>Implement process changes directed by leadership</li><li>Share best practices across shifts or teams</li><li>Conduct shift start/end meetings</li></ul><p><strong>Required Education and Experience</strong>:</p><ul><li>High School Diploma or equivalent, required.</li><li>Ability to read, write, and speak English</li><li>Previous experience in a data center desirable</li></ul><p></p><p ><strong>Our Organization is an equal opportunity employer</strong></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b><strong>About Mozn</strong></b></p><br><p><span>Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realize Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.&nbsp;&nbsp;</span></p><br><p><span>We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.&nbsp;</span></p><br><p><b><strong>About the role</strong></b></p><br><p><span>The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Senior Data Scientist position would be specialized in Open Banking, Credit Scoring, Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks.&nbsp;</span></p><br><p><b><strong>What you'll do</strong></b></p><br><ul><li><span>Lead initiatives to develop and implement strategies for fraud detection and AML.&nbsp;</span></li><li><span>Interact heavily with SME as well as Enterprise clients.&nbsp;</span></li><li><span>Understand pain points and gaps, build a project plan with clear deliverables and execute on it.&nbsp;</span></li><li><span>Plan, research and experiment customized project-based solutions.&nbsp;</span></li><li><span>Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.&nbsp;</span></li><li><span>Plan and execute towards the training of ML models then deploying them.&nbsp;</span></li><li><span>Help shape the roadmap for the development of our fraud and AML solutions.&nbsp;</span></li><li><span>Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.&nbsp;</span></li></ul><p><b><strong>Qualifications</strong></b></p><br><ul><li><span>Bachelor’s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.&nbsp;</span></li><li><span>At least 5 years experience in leading advanced data science projects.&nbsp;</span></li><li><span>A minimum of 3 years in client facing engagements in the field of fraud prevention and AML.&nbsp;</span></li><li><span>Strong communication skills to collect insights from clients, share and present findings.&nbsp;</span></li><li><span>Proficient in handling and analysing large datasets using SQL and Python.&nbsp;</span></li><li><span>Hands-on experience in data extraction, visualisation, analysis, and transformation.&nbsp;</span></li><li><span>Expert in building and maintaining advanced ML and statistical models, experience in graph analytics and using graph networks will be advantageous.&nbsp;</span></li><li><span>Skilled in utilising databases, data warehousing, data modelling techniques and feature generation / feature engineering.&nbsp;</span></li><li><span>Ability to create and manage complex multi-stage data pipelines.&nbsp;</span></li><li><span>Experience in building fraud detection models, or consulting on fraud detection / fraud prevention systems or AML is highly advantageous.&nbsp;</span></li><li><span>Proficiency in English language and Arabic languages is required.&nbsp;</span></li><li><span>Excellent verbal and written communication skills.&nbsp;</span></li><li><span>Excellent problem-solving skills, attention to detail, and adaptability&nbsp;</span></li></ul><p><b><strong>Benefits</strong></b></p><br><p><b><strong>Why Mozn?</strong></b></p><br><ul><li><span>You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.</span></li><li><span>You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.</span></li><li><span>The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best</span></li><li><span>You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.</span></li><li><span>We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves</span></li></ul><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>Job Purpose</strong></span></p><br> <p><span>Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, </span><span>ensuring technical robustness, model performance, and responsible AI implementation.</span></p><br> <p><span><strong>&nbsp;Key Accountabilities</strong></span></p><br> <ol> <li> <p><span>Develop, test, and validate machine learning, deep learning, and Generative AI models (including LLM-based applications).</span></p><br></li> <li> <p><span>Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.</span></p><br></li> <li> <p><span>Perform feature engineering, model tuning, and performance optimization.</span></p><br></li> <li> <p><span>Prepare, cleanse, and transform structured and unstructured datasets.</span></p><br></li> <li> <p><span>Support deployment of ML and GenAI models using MLOps and LLMOps practices.</span></p><br></li> <li> <p><span>Conduct structured evaluation of LLM outputs including hallucination detection and quality scoring.</span></p><br></li> <li> <p><span>Integrate AI solutions via APIs into enterprise systems.</span></p><br></li> <li> <p><span>Document model design, assumptions, risks, and validation results.</span></p><br></li> <li> <p><span>Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.</span></p><br></li> <li><span>Support monitoring, retraining, and lifecycle management of deployed models.</span></li> </ol> <p><span><strong>Minimum Qualification, Experience and Competencies</strong></span></p><br> <ol> <li><span><strong>Minimum Qualification</strong></span></li> </ol> <ul> <li> <p><span>Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field</span></p><br></li> </ul> <p><span><strong>Minimum Experience</strong></span></p><br> <ul> <li><span>4–6 years in data science, machine learning, or applied AI roles.</span></li> </ul> <p><span><span><strong>Skills:</strong></span></span></p><br> <ul> <li><span>Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn)</span></li> <li><span>Prompt engineering</span></li> <li><span>RAG pipelines &amp; vector databases</span></li> <li><span>Model fine-tuning and evaluation</span></li> <li><span>Data preprocessing &amp; feature engineering</span></li> <li><span>Basic cloud deployment concepts</span></li> <li><span>MLOps / LLMOps fundamentals</span></li> <li><span>Analytical problem-solving</span></li> <li><span>Results Orientation</span></li> <li><span>Collaboration</span></li> <li><span>Continuous Improvement</span></li> <li><span>Accountability</span></li> </ul><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>