Database Developer Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) 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) Additional requirements 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) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<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>

<h3 >About Panda Retail Company – Savola Group</h3> <p >Panda Retail Company, part of the Savola Group, is seeking a qualified professional to join its team. This role contributes to the company's strategic focus on enhancing customer loyalty and engagement through data-driven initiatives within the retail sector.</p> <h3 >The Role: Loyalty Deployment Assistant ******** &amp; Loyalty</h3> <p >The <strong >Loyalty Deployment Assistant ******** &amp; Loyalty</strong> is responsible for analyzing loyalty program audience segments and campaign performance metrics. This position plays a critical role in enabling data-informed decision-making to optimize campaign targeting, improve member engagement, and maximize the return on investment of loyalty initiatives across all channels.</p> <h3 >Key Responsibilities</h3> <ul > <li >Analyze loyalty program audience data to identify behavioral segments, purchase patterns, and engagement trends that inform targeted and personalized campaign strategies.</li> <li >Develop and maintain campaign performance dashboards and reports to monitor Key Performance Indicators (KPIs) such as redemption rates, earn rates, active member counts, and campaign ROI, enabling timely corrective actions.</li> <li >Design and implement A/B testing frameworks to evaluate campaign messaging, offer types, and targeting parameters, and present findings with clear recommendations to optimize future executions.</li> <li >Collaborate with the CRM and marketing teams to define segmentation criteria and prepare data-driven audience briefs that align campaign objectives with member profiles.</li> <li >Conduct post-campaign analyses to evaluate results against predefined targets, document learnings, and propose continuous improvement measures to enhance campaign effectiveness.</li> <li >Monitor member lifecycle metrics including acquisition, activation, engagement, retention, and churn to proactively identify risks and opportunities for program growth.</li> <li >Support the development and validation of predictive models that forecast campaign outcomes, member value, and behavioral trends to guide strategic planning.</li> <li >Ensure data accuracy and integrity by collaborating with data engineering and IT teams to validate, reconcile, and maintain loyalty data sources and reporting pipelines.</li> </ul> <h3 >Required Experience</h3> <p >Candidates for this position should possess <strong >5 to 10 years of experience</strong> in loyalty program management, CRM analytics, or a closely related field, demonstrating a strong background in data analysis and strategic deployment.</p> <h3 >Work Location and Type</h3> <p >This is a <strong >full-time</strong> position. The successful candidate will be based in either <strong >Makkah</strong> or <strong >Jeddah</strong>, Saudi Arabia.</p> <h3 >Commitment to Data-Driven Loyalty</h3> <p >Panda Retail Company – Savola Group is dedicated to leveraging data insights to build and sustain strong customer loyalty. This role offers an opportunity to contribute significantly to these strategic objectives.</p>

<p>Manage RSG's HR information systems to support accurate and efficient HR operations, by overseeing system maintenance, ensuring data integrity, supporting day-to-day HRIS operations, enabling process automation, and generating employee-related reports from SAP SuccessFactors when required.</p><p>Functional Responsibilities This job description outlines the core responsibilities of the role but is not exhaustive. Additional tasks related to the broader department may be assigned as required.</p><p>Administer and maintain RSG's HRIS platforms to ensure operational reliability and support daily HR processes. Support HR data analytics enablement by ensuring HR data is properly structured, captured, and available for analysis. Act as a technical business partner between HR and Technology departments to support integrations and system governance. Ensure implementation of HR data governance protocols to maintain the accuracy, consistency, and quality of HR data. Generate analytic snapshots and reports to track historical workforce data and provide relevant information to support decision-making. Schedule and automate standard and custom reports from SAP SuccessFactors for distribution to stakeholders. Conduct regular system audits, identify discrepancies, and implement corrective actions to maintain system integrity. Provide first-line user support, troubleshoot system issues, and escalate technical problems when needed. Maintain HRIS documentation, including user guides, SOPs, and system configuration records. Support system upgrades, enhancements, and data migration activities during organizational or system changes.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in MIS, Information Systems, Human Resources Management, Business Administration, or a related field.</li><li>6 years of relevant experience.</li><li>SAP SuccessFactors Certification (Preferred)</li><li>Certified Human Resources Information Professional (HRIP) (Preferred)</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>About the role ...</strong></p><br><p>As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.</p><br><p><strong>What you'll be doing ...</strong></p><br><ul><li>Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.</li><li>Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.</li><li>Oversee the integration of cloud platforms with data pipelines, storage, and compute services.</li><li>Standardize coding, deployment, and monitoring practices across cloud environments.</li><li>Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.</li><li>Lead problem-solving initiatives for complex technical challenges related to cloud environments.</li><li>Provide technical leadership across multiple cloud projects, ensuring efficient resource management.</li><li>Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.</li><li>Manage client relationships regarding project expectations, timelines, and outcomes.</li><li>Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.</li></ul><p><strong>What you'll need ...</strong></p><br><ul><li>Proven track record in architecting and deploying large-scale Google Cloud solutions</li><li><strong>Deep expertise</strong>&amp;nbsp;in GCP security, networking, and compliance best practices (VPC Service Controls, IAM, Organization Policy)</li><li><strong>Designed end-to-end GCP environments</strong>&amp;nbsp;that are highly available, secure, and cost-efficient—leveraging Google Kubernetes Engine (GKE), Cloud Run, Compute Engine, and Cloud SQL</li><li><strong>Defined global DR/HA strategies</strong>&amp;nbsp;using Cloud Load Balancing, Cloud CDN, and automated failover with multi-region Bigtable/Spanner or persistent disk replication, achieving sub-hour RTOs for critical workloads</li><li><strong>Architected end-to-end data pipelines</strong>—built both streaming and batch ETL workflows using Pub/Sub, Dataflow (Apache Beam), and Dataproc to ingest high-throughput events into BigQuery for real-time insights.</li><li><strong>Designed scalable data models in BigQuery</strong>—implemented dimensional schemas with partitioning and clustering to achieve sub-second query times on petabyte-scale datasets.</li><li><strong>Orchestrated and scheduled workflows</strong>&amp;nbsp;leveraging Cloud Composer (Airflow) and Workflows—added automated retries, data-quality validations, and alerting to guarantee pipeline reliability.</li><li>Automated infrastructure lifecycle via Terraform and Cloud Build pipelines—implementing auto-scaling, patch management, and monitoring workflows that boosted operational efficiency</li><li><strong>Mastery of cost control in GCP:</strong>&amp;nbsp;committed-use discounts, custom machine types, billing export analytics, and budget alerts, plus high-availability patterns for resilience</li><li>Partnered with data teams to fine-tune architectures on Cloud Storage, BigQuery, Dataflow, and Dataproc—delivering performant, scalable analytics platforms</li><li>Proven leadership in guiding cross-functional teams and steering complex, multi-phase cloud projects to on-time delivery</li><li>Exceptional communicator, adept at crafting business-focused presentations and leading stakeholder workshops on GCP strategy</li><li>Strong problem-solver, experienced in diagnosing and resolving architectural challenges across compute, data, and networking domains</li><li>Skilled at stakeholder management, from technical deep dives with engineering teams to strategic discussions with C-level executives</li><li><strong>Mentorship &amp;amp; coaching:</strong>&amp;nbsp;developing cloud engineering talent through hands-on training, code reviews, and best-practice evangelism</li><li><strong>Business growth driver</strong>, recognized for leveraging GCP innovations to unlock new revenue streams and streamline operations</li></ul> </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>Maharah Human Resources Company is seeking a skilled Artificial Intelligence Engineer to design, develop, and implement AI-based solutions to enhance business processes and products. The ideal candidate will have a strong background in machine learning, data analysis, and software development, with the ability to translate complex data into actionable insights.</p><p><b><br></b></p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and deploy AI models and algorithms to solve real-world problems</li><li>Collaborate with cross-functional teams to gather requirements and deliver AI-powered solutions</li><li>Conduct research and stay updated with the latest advancements in AI and machine learning</li><li>Analyze large datasets to extract meaningful patterns and insights</li><li>Optimize existing AI models for performance and scalability</li><li>Write clean, efficient, and well-documented code</li><li>Ensure AI systems comply with ethical guidelines and data privacy standards</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field</li><li>Proven experience in AI/ML development and deployment</li><li>Strong programming skills in Python, R, or similar languages</li><li>Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Good understanding of algorithms, statistics, and data structures</li><li>Strong problem-solving skills and analytical mindset</li><li>Ability to work collaboratively in a team-oriented environment</li></ul>

<p>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases.</p><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><h4>What We Do</h4><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><h4>About the Role</h4><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><h4>Key Responsibilities</h4><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Desired Candidate Profile</strong></p><h4>Educational qualifications</h4><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li></ul><h4>Academic and/or Professional Experience</h4><ul><li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.</li><li>We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.</li><li>A methodical, detail-oriented approach and the ability to work independently are essential.</li></ul><h4>Technical Skills (Essential)</h4><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><h4>Additional requirements</h4><ul><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

<ul><li><p>Manage HSE management systems (Enablon, Intelex) and digital platforms, ensuring data integrity, access control, and user effectiveness.</p></li><li><p>Establish robust data collection, verification, and quality assurance processes, identifying anomalies and ensuring accurate, traceable, and auditable data.</p></li><li><p>Lead preparation, verification, and submission of HSE performance reports, managing weekly/monthly/quarterly reporting across Projects HSSEW.</p></li><li><p>Develop Power BI dashboards, predictive analytics, and trend analysis, providing clear intelligence and decision-support insights for leadership.</p></li><li><p>Design and implement fit-for-purpose digital tools, automating data workflows, and integrating multiple sources for efficient and transparent reporting.</p></li><li><p>Support workforce demobilization, contractor offboarding, and project transition activities, providing live visibility and metrics for management.</p></li><li><p>Maintain HSE reporting continuity during organizational changes and system disruptions, developing resilient alternative reporting solutions.</p></li><li><p>Partner with project teams and stakeholders to improve information quality and reporting discipline, providing expert advice and technical support.</p></li><li><p>Build organizational capability in data-driven risk management and digital HSE reporting, promoting clear data ownership and accountability.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Recognized qualification in occupational health and safety, engineering, data analytics, or a relevant field.</p></li><li><p>Professional safety qualification or certification suitable for the role's level and responsibilities.</p></li><li><p>Demonstrated competence in HSE performance management, data assurance, and executive reporting.</p></li><li><p>Advanced skills in Power BI, data modeling, dashboard development, and analytical reporting.</p></li><li><p>Practical experience with enterprise HSE management systems (Enablon, Intelex) and digital applications/workflows.</p></li><li><p>Significant experience in HSE data, systems, assurance, or performance reporting in major projects or high-risk environments.</p></li><li><p>Proven track record in delivering executive-level dashboards, PIF reporting, and project data validation processes.</p></li><li><p>Ability to develop practical digital solutions from concept to implementation, and maintain reporting continuity during transitions.</p></li><li><p>Strong strategic data governance, advanced analytics, HSE management systems expertise, and executive communication skills.</p></li><li><p>Excellent problem-solving, business continuity, stakeholder influence, and collaboration abilities, with attention to detail and integrity.</p></li></ul>

MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.<br><br>The Field Architect role at MinIO is a senior customer-facing technical position focused on defining, validating, and guiding architectures for AI, analytics, cloud-native applications, and large-scale data platforms. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes.<br><br>You will collaborate closely with the broader MinIO team through technical discovery, architecture design, proof-of-concept (PoC) delivery, production onboarding, performance validation, and long-term expansion. Success in this role requires hands-on expertise across the data stack, strong architecture and communication skills, and ownership of customer technical outcomes.<br><br><strong>What You Will Do<br><br></strong><strong>Technical Leadership &amp; Architecture<br><br></strong><ul><li>Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, data sources, application requirements, infrastructure constraints, and success criteria. Design end-to-end architectures that address those requirements.</li><li>Data Platform Architecture: Design solutions across the full data stack, including ingestion and change data capture (CDC), batch and streaming pipelines, data processing, lakehouse storage and table formats, catalogs, query and analytics engines, orchestration, data quality, governance, and AI integration. Understand how these components work together and guide customers through architecture decisions and tradeoffs.</li><li>AI and Analytics Workload Design: Define and validate architectures for AI/ML training and inference, analytics, lakehouse environments, high-performance data pipelines, and modern application data services.</li><li>Object Storage and S3 Expertise: Serve as a subject matter expert in AIStor, object storage, S3-compatible architectures, distributed systems, replication, erasure coding, security, performance tuning, and large-scale namespace design.<br><br></li></ul><strong>Customer Engagement &amp; PoC Delivery<br><br></strong><ul><li>Customer Technical Advisor: Build trusted relationships with customer technical stakeholders across data engineering, analytics, AI, infrastructure, platform, security, application, and operations teams. Guide customers toward informed architecture decisions.</li><li>PoC Ownership and Delivery: Plan and conduct customer PoCs from initial scope through final technical review. Agree on success criteria, design and deploy the solution, integrate the required data stack components, build representative use cases, run functional and performance tests, troubleshoot issues, document results, and drive the PoC to a clear outcome and production plan.</li><li>Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering to help customers move from PoC to production and expand adoption across additional workloads and teams.<br><br></li></ul><strong>Ecosystem, Enablement &amp; Field Operations<br><br></strong><ul><li>Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and deployment patterns across private, public, and hybrid cloud environments.</li><li>Solution Integration: Work with customer teams and technology partners to integrate data sources, ingestion and streaming tools, processing and analytics engines, AI platforms, identity systems, observability tools, and infrastructure components.</li><li>Technical Presentations and Enablement: Deliver architecture presentations, whiteboard sessions, demonstrations, workshops, and technical enablement for customers, partners, and internal teams.</li><li>RFP, RFI, and Technical Response Support: Lead or contribute to technical responses covering the full data platform, including architecture, integrations, security, scalability, performance, and operational requirements.<br><br></li></ul><strong>Product Intelligence &amp; Market Expertise<br><br></strong><ul><li>Product and Engineering Feedback: Capture customer requirements, PoC findings, integration needs, and field feedback. Work with Product and Engineering teams to resolve gaps and inform priorities.</li><li>Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competing data platforms. Explain technical differentiation in the context of customer use cases.<br><br></li></ul><strong>Your Skills And Experience<br><br></strong><ul><li>10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant.</li><li>Hands-on experience designing, integrating, and troubleshooting end-to-end data platforms. This should include several of the following: ingestion, CDC, batch and streaming processing, lakehouse architecture, catalogs, query engines, orchestration, data quality, governance, and AI/analytics workloads.</li><li>Demonstrated experience leading customer PoCs, including defining success criteria, deploying and integrating components, validating functionality and performance, resolving technical issues, and presenting results.</li><li>Strong understanding of object storage and S3-compatible architectures, including security, replication, data protection, performance, and scale-out design.</li><li>Hands-on experience with Linux, networking, storage systems, containers, Kubernetes, and modern data center infrastructure.</li><li>Practical experience with relevant data stack technologies, such as Kafka, Debezium, NiFi, Spark, Flink, Trino, Starburst, Iceberg, Delta Lake, or data catalogs. Experience with every listed technology is not required.</li><li>Experience designing or supporting AI, machine learning, analytics, lakehouse, or large-scale data pipeline environments.</li><li>Experience with public and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms.</li><li>Ability to lead technical discovery, design architectures, build demonstrations, analyze performance, troubleshoot integrations, and communicate tradeoffs clearly.</li><li>Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate with both technical and executive audiences.</li><li>Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams.</li><li>Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment.</li><li>Willingness to travel as needed to support customers, partners, field events, and internal team activities.</li><li>Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered.<br><br></li></ul><strong>Equal Opportunity Policy (EEO)<br><br></strong>MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Key Account Manager, Data Centres Location: Saudi Arabia / KSASalary: Competitive<br>The Opportunity<br>We are supporting a leading global provider of critical infrastructure and cooling solutions in the appointment of a Key Account Manager to drive growth across the Saudi data centre market.<br>The role will focus on developing strategic customer relationships, winning new business and positioning the organisation as a long-term partner to major data centre operators and developers.<br>The ideal candidate will bring strong data centre experience, an established senior network and a proven track record of winning complex, high-value projects.<br>Key Responsibilities<br>Market Development & New Business Identify and develop new opportunities across the hyperscale, colocation and wider data centre sectors. Build relationships with new customers and expand existing strategic accounts. Lead opportunities from initial engagement through to contract award.<br>Strategic Account Management Own strategic account plans for key regional and multinational customers. Build strong relationships with C-suite and senior decision-makers. Understand customer infrastructure plans and align solutions to future requirements. Develop long-term, trusted customer partnerships.<br>Pipeline & Commercial Growth Build and manage a strong sales pipeline. Lead complex, multi-year sales cycles and high-value opportunities. Deliver against revenue and order intake targets. Identify opportunities to grow share of wallet within existing accounts.<br>Commercial Leadership Lead pricing, contract negotiations and commercial discussions. Manage multiple stakeholders throughout the sales process. Work closely with engineering, project delivery, finance and wider commercial teams to ensure effective execution. Account Planning & Market Intelligence Develop multi-year account strategies aligned with customer growth plans. Conduct regular business reviews with key accounts. Monitor market trends, customer investment plans and competitor activity.<br>Key Qualifications5+ years' experience within the data centre industry, ideally across cooling, power, infrastructure or related critical infrastructure. Fluent Arabic and English are essential. Established network of senior decision-makers across the Saudi and wider Middle East data centre market. Proven track record of hunting and winning large-scale, complex contracts. Experience managing strategic or global accounts with long sales cycles. Strong understanding of hyperscale, colocation and major data centre developments. Demonstrable success against revenue, order intake or growth targets. Strong commercial and negotiation skills. Willingness to travel across the region as required. Bachelor's degree in Engineering, Business or a related discipline preferred.<br>What the Opportunity Offers Competitive salary package Senior commercial responsibility within a global critical infrastructure business Exposure to major data centre customers and developments International and regional collaboration Training and professional development opportunities Comprehensive benefits package

<p>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality 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 innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts. About the Role This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches. Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement. 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. Educational qualifications At least 5+ years 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. Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential. Technical Skills (Essential) 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) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks 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) Project time expectations For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. 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.</p><p><strong>Desired Candidate Profile</strong></p><p>At least 5+ years 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. Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential. Technical Skills (Essential) 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) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks 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>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>At least 5+ years 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.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><strong>Technical Skills (Essential)</strong><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><strong>Additional requirements</strong><ul><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>About the role ...</strong></p><br><p>As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.</p><br><p><strong>What you'll be doing ...</strong></p><br><ul><li>Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.</li><li>Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.</li><li>Oversee the integration of cloud platforms with data pipelines, storage, and compute services.</li><li>Standardize coding, deployment, and monitoring practices across cloud environments.</li><li>Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.</li><li>Lead problem-solving initiatives for complex technical challenges related to cloud environments.</li><li>Provide technical leadership across multiple cloud projects, ensuring efficient resource management.</li><li>Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.</li><li>Manage client relationships regarding project expectations, timelines, and outcomes.</li><li>Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.</li></ul><p>&amp;nbsp;</p><br><p><strong>What you'll need ...</strong></p><br><ul><li>Proven experience designing and implementing cloud architectures on Azure at scale</li><li>Strong expertise in cloud security, networking, and compliance frameworks.</li><li>Led the end-to-end design of highly available, secure, and cost-optimized Azure environments for enterprise customers, leveraging services such as Azure Virtual Network, Azure Kubernetes Service (AKS), and Azure App Service.</li><li>Defined multi-region DR/HA architectures using Azure Traffic Manager, paired regions, and Azure Site Recovery, achieving RTOs under 1 hour for mission-critical workloads.</li><li>Enable automated patching, scaling, and monitoring tasks via Azure DevOps YAML pipelines and PowerShell DSC, improving operational efficiency.</li><li>Deep understanding of cloud cost optimization, monitoring, and high availability design patterns.</li><li>Collaborated with data engineers to optimize architectures on Azure Data Lake Storage Gen2, Synapse, and MS Fabric</li><li>Strong leadership capabilities with experience managing technical teams and large-scale projects.</li><li>Excellent verbal and written communication skills, including experience creating business-focused presentations.</li><li>Demonstrated problem-solving abilities for complex, multi-disciplinary cloud projects.</li><li>Experience managing senior stakeholders and navigating client discussions effectively.</li><li>Ability to mentor, coach, and develop technical teams in cloud engineering best practices.</li><li>A track record of contributing to business growth through technical innovation and strategic initiatives.</li></ul><p>&amp;nbsp;</p><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 &amp; Dashboard Analyst (BI)</strong></p><p><br></p><p>We are looking for a detail-oriented Data &amp; Dashboard Analyst (BI) to support business decision-making through data analysis, dashboard development, and performance reporting.</p><p>The role will focus on transforming complex data into clear insights, building interactive dashboards, monitoring key performance indicators, and supporting stakeholders with accurate and timely business intelligence.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and maintain interactive dashboards and reports using BI tools.</li><li>Analyze business data to identify trends, patterns, risks, and opportunities.</li><li>Monitor and report on key performance indicators (KPIs).</li><li>Translate business requirements into meaningful data visualizations and analytical solutions.</li><li>Ensure data accuracy, consistency, and quality across reports and dashboards.</li><li>Work closely with business teams to understand reporting and analytics requirements.</li><li>Prepare insights and recommendations to support management decision-making.</li><li>Automate recurring reports and improve reporting efficiency where possible.</li></ul><p><strong>Requirements:</strong></p><ul><li>Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business, Finance, or a related field.</li><li>Relevant experience in data analysis, business intelligence, reporting, or dashboard development.</li><li>Strong experience with Power BI or similar BI tools.</li><li>Good knowledge of Excel, SQL, data visualization, and reporting.</li><li>Ability to analyze large datasets and present findings clearly.</li><li>Strong attention to detail and problem-solving skills.</li><li>Good communication and stakeholder management skills.</li></ul><p><br></p>

<div dir="rtl"><h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">نبذة عن الدور</h3> <p style="margin:0 0 12px; ************;">يبحث مصنع الرفاء للملابس عن <strong style="font-weight:700;">مدخل بيانات</strong> للانضمام إلى فريقه في الدمام، المنطقة الشرقية. يركز هذا الدور على مراجعة وتدقيق استمارات البيانات، بالإضافة إلى إدخال وتخزين المعلومات بدقة باستخدام أنظمة الحاسب الآلي. ستكون مسؤولاً عن ضمان جودة البيانات وسريتها ضمن بيئة عمل بدوام كامل.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">المهام والمسؤوليات الرئيسية</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">مراجعة استمارات البيانات وترميزها والتأكد من اكتمال جميع المعلومات المطلوبة.</li> <li style="margin:0 0 6px;">إدخال البيانات والمعلومات بدقة في أنظمة الحاسب الآلي وفقاً للبرامج والنظم المعتمدة.</li> <li style="margin:0 0 6px;">تدقيق رموز التصنيف للبيانات المدخلة وتصحيح أي أخطاء محتملة لضمان دقتها.</li> <li style="margin:0 0 6px;">تخزين المعلومات والبيانات المدخلة بشكل منظم وآمن.</li> <li style="margin:0 0 6px;">إنشاء النسخ الاحتياطية اللازمة للبيانات والمعلومات المخزنة بشكل دوري.</li> <li style="margin:0 0 6px;">الالتزام الصارم بالتعليمات والسياسات المتعلقة بسرية وحماية البيانات والمعلومات.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">المؤهلات والخبرة المطلوبة</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">شهادة الثانوية العامة كحد أدنى أو ما يعادلها.</li> <li style="margin:0 0 6px;">خبرة تتراوح من <strong style="font-weight:700;">0 إلى 1 سنة</strong> في مجال إدخال البيانات أو دور مشابه.</li> <li style="margin:0 0 6px;">القدرة على العمل بدقة واهتمام بالتفاصيل.</li> <li style="margin:0 0 6px;">مهارات جيدة في استخدام الحاسب الآلي وبرامج إدخال البيانات.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">بيئة العمل والموقع</h3> <p style="margin:0 0 12px; ************;">هذه الوظيفة بدوام كامل ومقرها في <strong style="font-weight:700;">الدمام، المنطقة الشرقية</strong>. سيعمل مدخل البيانات ضمن فريق المصنع، ملتزماً بالمعايير المهنية لضمان دقة وسلامة البيانات.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">معلومات إضافية</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">نوع الوظيفة: دوام كامل.</li> <li style="margin:0 0 6px;">الراتب: غير معلن.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">التقديم</h3> <p style="margin:0 0 12px; ************;">ندعو المهتمين الذين يستوفون المتطلبات المذكورة أعلاه إلى تقديم طلباتهم. سيتم التواصل مع المرشحين المؤهلين لمتابعة عملية التوظيف.</p></div>

<p><p>Job Purpose :</p> <p><span style=\"color: #333333; background-color: #ffffff;\">To analyze loyalty program audience segments and campaign performance metrics, enabling data-informed decision-making that optimizes campaign targeting, improves member engagement, and maximizes the return on investment of loyalty initiatives across all channels.</span></p> <p>&nbsp;</p> <p><span style=\"color: #333333; background-color: #ffffff;\">Job Accountability </span></p> <ul> <li><span style=\"color: #333333; background-color: #ffffff;\">A</span><span style=\"color: #333333; background-color: #ffffff;\">nalyze loyalty program audience data to identify behavioral segments, purchase patterns, and engagement trends that inform targeted and personalized campaign strategies.</span></li> <li><span style=\"color: #333333; background-color: #ffffff;\">Develop and maintain campaign performance dashboards and reports to monitor KPIs such as redemption rates, earn rates, active member counts, and campaign ROI, enabling timely corrective actions.</span></li> <li><span style=\"color: #333333; background-color: #ffffff;\">Design and implement A/B testing frameworks to evaluate campaign messaging, offer types, and targeting parameters, and present findings with clear recommendations to optimize future executions.</span></li> <li><span style=\"color: #333333; background-color: #ffffff;\">Collaborate with the CRM and marketing teams to define segmentation criteria and prepare data-driven audience briefs that align campaign objectives with member profiles.</span></li> <li><span style=\"color: #333333; background-color: #ffffff;\">Conduct post-campaign analyses to evaluate results against predefined targets, document learnings, and propose continuous improvement measures to enhance campaign effectiveness.</span></li> <li><span style=\"color: #333333; background-color: #ffffff;\">Monitor member lifecycle metrics including acquisition, activation, engagement, retention, and churn to proactively identify risks and opportunities for program growth</span></li> <li><span style=\"color: #333333; background-color: #ffffff;\">Support the development and validation of predictive models that forecast campaign outcomes, member value, and behavioral trends to guide strategic planning.</span></li> <li><span style=\"color: #333333; background-color: #ffffff;\">Ensure data accuracy and integrity by collaborating with data engineering and IT teams to validate, reconcile, and maintain loyalty data sources and reporting pipelines.</span></li> </ul></p>

Job Overview We are seeking an experienced Network Consulting Engineer (NCE) specializing in VXLAN EVPN, AI Data Center Networking, and high-performance computing (HPC) environments. The successful candidate will be responsible for designing, implementing, and optimizing next-generation data center networks that support AI/ML workloads, GPU clusters, distributed computing, and hyperscale infrastructure. This role requires deep expertise in modern data center networking technologies, including VXLAN EVPN, BGP, RoCEv2, RDMA, Cisco Nexus, Arista EOS, and fabric-based architectures. The ideal candidate will have hands-on experience building highly available, low-latency networks optimized for AI training, inference, and large-scale compute environments. Key Responsibilities Design, deploy, and support VXLAN EVPN-based data center fabrics for AI, HPC, and cloud-scale environments. Architect and implement scalable spine-leaf network designs using platforms such as Cisco Nexus 9000, Cisco ACI, and Arista EOS. Configure and optimize Layer 2/Layer 3 segmentation, workload mobility, and network virtualization. Design and tune networks supporting GPU clusters, distributed AI training, and high-performance workloads. Optimize network performance for RoCEv2, RDMA, GPUDirect, and low-latency traffic flows. Implement and troubleshoot routing protocols including BGP, OSPF, IS-IS, and multicast. Deploy and manage data center fabric integrations with virtualization and container platforms including:VMware NSXKVMHyper-VKubernetes-based AI platforms Collaborate with compute, storage, cloud, and Dev Ops teams to ensure end-to-end infrastructure performance. Support network automation initiatives using Python, Ansible, Terraform, and Infrastructure-as-Code (IaC) methodologies. Perform network performance testing, benchmarking, capacity planning, and optimization for evolving AI workloads. Provide technical leadership, troubleshooting expertise, and consulting guidance to enterprise customers and internal teams. Required Skills & Experience Proven experience designing, deploying, and operating VXLAN EVPN-based data center networks. Strong hands-on experience with:Cisco Nexus 9000 platforms Cisco ACIArista EOSSpine-leaf architectures Advanced knowledge of data center routing and switching technologies:BGPOSPFIS-ISMulticast Network virtualization Deep understanding of AI and HPC networking requirements, including:RoCEv2RDMAData Center Bridging (DCB) Priority Flow Control (PFC) Congestion management and latency optimization Experience supporting GPU-accelerated infrastructure and distributed computing environments. Strong troubleshooting skills across network control plane, data plane, and performance issues. Experience with network automation and orchestration tools:Python Ansible Terraform Understanding of hybrid cloud and multi-cloud networking architectures. Preferred Qualifications & Certifications CCIE Data Center certification preferred. CCNP Data Center or equivalent advanced networking certification. Cisco certifications such as:Cisco Certified Specialist – Data Center Core Cisco Certified Specialist – Enterprise Core Experience with NVIDIA networking technologies, including:NVIDIA Spectrum switches NVIDIA Cumulus Linux Arista certifications such as Arista ACE are highly desirable. Experience designing and supporting AI infrastructure, hyperscale data centers, or HPC environments.

<p>Provide specialist technical and operational support for TDA (Test &amp; Data Acquisition) activities during well testing and wellsite operations. Support the planning, preparation and execution of well testing and data acquisition programmes. Review well programmes, test procedures and relevant technical documentation prior to operations. Assist with the preparation, installation, function testing and operation of TDA and associated well testing equipment. Monitor and acquire accurate real-time well data throughout testing operations. Monitor and record pressure, temperature, flow rate and other relevant well parameters. Ensure data acquisition systems and associated instrumentation are correctly configured and functioning. Perform quality checks on acquired data and identify any anomalies or inconsistencies. Troubleshoot data acquisition, instrumentation and equipment issues during operations. Work closely with the Well Testing Supervisor and other wellsite personnel to ensure accurate and timely data collection. Provide technical input during pre-job planning and operational meetings. Ensure all data is recorded, stored and reported in accordance with company and client requirements. Prepare operational reports and assist with the compilation of final well test data and documentation. Maintain accurate equipment and calibration records. Assist with equipment rig-up, testing, troubleshooting and rig-down activities. Ensure all work is carried out in accordance with approved procedures, risk assessments and HSE requirements. Identify and report unsafe conditions, equipment defects and operational concerns. Support incident investigations and technical troubleshooting where required. Liaise professionally with client representatives and other service companies at the wellsite.</p><p><strong>Desired Candidate Profile</strong></p><p>Proven experience in a TDA / Test &amp; Data Acquisition role within the Oil &amp; Gas or Well Services industry. Previous experience supporting well testing operations is highly desirable. Strong understanding of well test data acquisition and associated instrumentation. Experience monitoring and recording well pressure, temperature, flow and other operational parameters. Familiarity with data acquisition systems, sensors, gauges and associated equipment. Ability to interpret well test data and identify potential anomalies. Good understanding of wellsite operations and pressure control equipment. Strong troubleshooting and problem-solving skills. Ability to work effectively as part of a multidisciplinary wellsite team. Strong written and verbal communication skills. Commitment to HSE and safe working practices. Willingness to work rotational schedules in Saudi Arabia. Valid passport and ability to obtain the required Saudi Arabian work visa and medical clearance.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Gathern is seeking a dedicated <strong style="font-weight:700;">Systems Accountant</strong> to join our team in Riyadh, Riyadh Province. This full-time position is central to managing and optimizing our financial data and systems infrastructure, ensuring robust and integrated financial operations.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Purpose and Objectives</h3> <p style="margin:0 0 12px; ************;">The Systems Accountant will serve as the owner of the finance data and systems layer. This role involves mapping and controlling all automated financial pipelines from the core platform, Metabase, and various SaaS applications into Microsoft Dynamics. A primary objective is to lead finance system implementations from end to end, while also enforcing stringent system controls and segregation of duties. The role aims for a 48-hour corrective action timeframe and maintaining ** data integrity across all financial data sources.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Map, monitor, and maintain automated financial data pipelines across the core platform, Metabase, Microsoft Dynamics, and supporting SaaS applications (procurement, payroll, expense-management tools).</li> <li style="margin:0 0 6px;">Act as the Finance Project Lead for new software, modules, and system upgrades, including defining business requirements, building future-state process maps, and leading cross-departmental rollouts.</li> <li style="margin:0 0 6px;">Design and execute rigorous User Acceptance Testing (UAT) scripts and data-migration protocols, ensuring zero data loss or misalignment during deployments and schema changes.</li> <li style="margin:0 0 6px;">Serve as super-user and administrator of Microsoft Dynamics and peripheral finance applications; design and enforce system controls, user-access mapping, and strict Segregation of Duties (SoD).</li> <li style="margin:0 0 6px;">Investigate and resolve data-sync failures, transaction-processing errors, and ledger mismatches, taking corrective action within 48 hours and proactively automating manual workarounds.</li> <li style="margin:0 0 6px;">Collaborate with the Business Intelligence (BI) team to ensure Metabase data structures accurately reflect accounting logic and the Chart of Accounts, maintaining ** integrity across all data sources.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's degree in Accounting, Information Systems, Finance, Computer Science, or a related field.</li> <li style="margin:0 0 6px;">3 to 5 years of experience in finance systems, enterprise resource planning (ERP), or financial data management.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Skills</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Experience supporting finance system integrations and data validation.</li> <li style="margin:0 0 6px;">Proficiency with Microsoft Dynamics 365 or a comparable enterprise resource planning system.</li> <li style="margin:0 0 6px;">Experience developing financial reports, dashboards, and data quality controls.</li> <li style="margin:0 0 6px;">Experience supporting finance automation and digital transformation initiatives.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Type and Location</h3> <p style="margin:0 0 12px; ************;">This is a full-time position based in Riyadh, Riyadh Province.</p>

Key Responsibilities: Identify, develop, and close new business opportunities within the data center and mission-critical facilities market Build and maintain strong relationships with data center owners, operators, consultants, and EPC contractors Prepare technical and commercial proposals for precision cooling systems, CRAC/CRAH units, chillers, and related HVAC solutions Conduct site assessments and collaborate with engineering teams to design cooling solutions that meet client requirements and capacity needs Present technical solutions to clients, addressing energy efficiency (PUE), redundancy, and reliability requirements Develop and execute account and territory sales strategies to meet revenue targets Prepare accurate cost estimates, quotations, and bid submissions Negotiate contracts and close sales in line with company pricing and margin guidelines Stay current on data center industry trends, competitor offerings, and emerging cooling technologies Coordinate with project management, engineering, and service teams to ensure smooth project handover and customer satisfaction Attend industry events, trade shows, and client meetings to promote Johnson Controls' data center cooling portfolio.<br>Qualifications: Bachelor’s degree in mechanical engineering or related field Minimum 7 years of experience in HVAC sales, with a focus on data center or mission-critical environments Strong technical understanding of precision cooling systems, chilled water systems, and free cooling solutions Proven track record of achieving sales targets in a B2B technical sales environment Familiarity with ASHRAE TC9.9 guidelines and data center Tier classifications (Uptime Institute) Existing network within the Saudi data center/EPC/consultant community is highly desirable Strong negotiation, presentation, and relationship-building skills Ability to read and interpret technical drawings and specifications Excellent communication skills in English; Arabic is a plus

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b><br><b> Role Overview </b> <br> <br> The Trainee - Financial Planning &amp; Performance will support the Planning &amp; Reporting team. This entry-level role is designed to provide hands-on exposure to core financial planning, forecasting, and performance reporting activities. The trainee will assist in executing day-to-day processes and will develop a strong foundation in financial analysis and management reporting. <br><b> Key Responsibilities: </b> <br><b>Monthly Forecast &amp; OPEX Reporting</b> <br>• Assist in collecting and organizing actual financial data from Financial Reporting and Commercial teams. <br>• Support data validation and alignment checks against the income statement. <br>• Help input and maintain data in forecasting model templates monthly. <br>• Assist in consolidating data into the central forecast model and preparing draft outputs for review. <br><b>Annual Operating Plan (AOP)</b> <br>• Support the preparation and distribution of AOP submission templates to departments. <br>• Assist in consolidating departmental inputs into the central AOP model. <br>• Help reconcile AOP submissions against historical actuals and latest forecasts. <br>• Track outstanding submissions and follow up with departments on missing or incomplete data. <br>• Assist in preparing review materials and presentation decks for senior leadership sessions. <br><b>Skills</b><br>• Solid proficiency in Microsoft Excel (formulas, pivot tables, data organization). <br>• Basic familiarity with Power BI or a willingness to learn. <br>• Strong attention to detail and commitment to data accuracy. <br>• Good organizational skills with the ability to manage multiple tasks and deadlines. <br>• Clear written and verbal communication skills. <br>• Collaborative team player with a proactive, can-do attitude. <br><b>Education</b><br>Bachelor's degree in Finance, Accounting, Economics, or a related field.<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"> 1+ years </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>