Database Developer Jobs

<h3 >About Müller's Solutions and the Role</h3> <p >Müller's Solutions is seeking a <strong >Data Analytics Specialist</strong> to join our team in Riyadh, Saudi Arabia. This is a full-time position where the specialist will be responsible for analyzing complex data sets to provide actionable insights that inform business strategy and decision-making. The role involves working closely with various departments to enhance data-driven practices and improve overall organizational performance through advanced analytical techniques.</p> <h3 >Key Responsibilities</h3> <ul > <li >Collect, process, and analyze large data sets from various sources to identify trends and patterns.</li> <li >Create and maintain dashboards and reports to visualize data and communicate results effectively.</li> <li >Collaborate with cross-functional teams to understand their data needs and provide analytical support.</li> <li >Model data using statistical methods to forecast future trends and outcomes.</li> <li >Develop and implement data collection and analysis methodologies.</li> <li >Conduct ad-hoc analyses as requested, providing insights that inform business decisions.</li> <li >Stay updated on industry trends and best practices in data analytics.</li> <li >Train team members on data analysis tools and techniques to enhance data literacy across the organization.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Proven experience as a Data Analytics Specialist or in a similar role, with <strong >5-10 years of relevant experience</strong>.</li> <li >Excellent analytical and problem-solving skills with attention to detail.</li> <li >Strong communication skills to effectively convey complex data insights to non-technical stakeholders.</li> <li >Ability to work independently and as part of a team in a fast-paced environment.</li> </ul> <h3 >Team and Work Environment</h3> <p >The Data Analytics Specialist will operate within a dynamic team environment, contributing to data-driven initiatives across the organization. This full-time position is based in Riyadh, Riyadh, Saudi Arabia, requiring active collaboration with various departments.</p> <h3 >Benefits of Joining Müller's Solutions</h3> <ul > <li >Opportunity to work with a talented and passionate team.</li> <li >Competitive salary and benefits package.</li> <li >Involvement in innovative projects and a stimulating work environment.</li> </ul> <h3 >Application Process</h3> <p >Candidates who meet the above qualifications are encouraged to apply for this full-time Data Analytics Specialist position at Müller's Solutions.</p>

JOB PURPOSE / ROLE:To lead the development, Implementation, and monitoring of the RB enterprise data strategy and governance controls, Ensuring alignment with business objectives, regulatory requirements and data management standards while driving continues improvement in data governance capabilities.<br>AREAS OF RESPONSIBILITY:Policies, Processes & Procedures:Assist the development and execution of the Data Strategy & Control policies, procedures and controls for all sources of the data. Day- to-Day Operations:Perform the day-to-day activities and ensure that work processes are implemented as designed and comply with established policies, processes and procedures Job Related Accountabilities:Lead the implementation and continuous enhancement of the Bank’s Enterprise Data Strategy. Develop and monitor data governance controls, standards, policies, and procedures across the Bank. Track the execution of strategic data initiatives and report progress against approved roadmaps and KPIs. Coordinate with business and technology stakeholders to ensure alignment of data initiatives with business priorities Establish governance mechanisms to ensure compliance with internal policies and regulatory requirements related to data management. Monitor data governance maturity and identify opportunities for continuous improvement. Support enterprise-wide data governance forums and committees by preparing reports, dashboards, and decision-support materials. Coordinate the implementation of data-related regulatory and compliance requirements. Collaborate with Data Quality, Master Data, Metadata, Data Privacy, and Business Intelligence teams to ensure consistent governance practices. Lead assigned strategic initiatives and perform other related duties as required. Change Management Contributes to the identification of opportunities for continuous improvement of systems, processes and practices taking into account ‘international best practices’, improvement of business processes, cost reduction and productivity improvement. Related Assignments:Performs other related duties or assignments as directed<br>QUALIFICATIONS & EXPERIENCE:Minimum Qualifications:Bachelor’s degree in Information Management System, Information Systems or Computer Science or Related Filed Minimum Experience:6-8 years relevant experience in Data Management Language:English: Advanced

Job Purpose To manage and operationalize the Bank’s Data Privacy program by implementing approved privacy frameworks, controls, and processes, ensuring day-to-day compliance with PDPL, SAMA, NDMO, and applicable international standards.<br>The role supports the Head of Data Privacy Office by executing privacy initiatives, managing privacy risks, handling data subject rights and incidents, and embedding privacy controls across business, technology, and third-party activities.<br>Key Accountabilities<br>Privacy Policies, Systems & Procedures Implement and operationalize approved data privacy policies, standards, procedures, and guidelines across the Bank. Ensure consistent execution of privacy controls by business units and technology teams. Monitor adherence to privacy requirements and escalate non-compliance issues as required. Support alignment between privacy controls and information security, data classification, and data governance frameworks.<br>Regulatory Compliance & Operational Privacy Execute privacy compliance activities in line with PDPL, SAMA, and NDMO requirements. Monitor regulatory updates and support impact assessments and implementation actions. Support audits, regulatory reviews, and internal assessments related to data privacy. Maintain and update Records of Processing Activities (ROPA) and data inventories.<br>Data Subject Rights Management Manage and coordinate Data Subject Rights Requests (DSARs), including access, correction, deletion, and portability, in line with PDPL timelines. Coordinate with internal stakeholders to ensure accurate, complete, and timely responses. Maintain DSAR logs, evidence, and reporting metrics.<br>Privacy Risk, DPIAs & New Initiatives Conduct and support Privacy Impact Assessments (DPIAs) for new products, systems, vendors, and initiatives. Identify privacy risks and recommend mitigation controls. Support privacy-by-design implementation in digital, analytics, AI, and transformation initiatives.<br> Incident & Breach Handling Maintain the privacy incident register and ensure proper documentation. Support notification processes to regulators and affected individuals, as required.<br>Data Lifecycle & Retention<br>Qualifications, Experience, Skills & Competencies<br>Education:Bachelor's degree acceptable educational level accompanied by a strong banking experience. Relevant certifications (privacy, security, risk, or compliance) are an advantage.<br>Experience:5-8 years of Experience in the Data Privacy or a related field Experience operating privacy controls within a regulated or financial services environment is preferred.<br>Skills & Competencies:Strong working knowledge of PDPL, SAMA regulations, and privacy operational controls. Hands-on experience with DSARs, ROPA, DPIAs, and privacy incident handling. Understanding of data lifecycle management and data classification. Strong coordination, documentation, and stakeholder management skills. Ability to translate regulatory requirements into practical controls.

<h3><strong>About E-Solutions</strong></h3><p>E-Solutions is seeking an <strong>Oracle Cloud Data Migration Consultant</strong> to join our team. This <strong>full-time</strong> position is based in <strong>Jeddah, Makkah, Saudi Arabia</strong>, focusing on critical data migration initiatives for Oracle Cloud implementations.</p><h3><strong>The Role</strong></h3><p>The Oracle Cloud Data Migration Consultant will play a central role in ensuring the successful and auditable migration of data to Oracle Cloud platforms. This involves leading various stages of the data migration lifecycle, from initial extraction to post-go-live support, working closely with diverse project teams.</p><h3><strong>Key Responsibilities</strong></h3><ul><li>Lead activities related to data extraction, mapping, transformation, and validation.</li><li>Build and execute migration loads utilizing tools such as FBDI, ADFDi, HDL (for HCM), and REST APIs.</li><li>Develop essential documentation, including data templates, mapping sheets, and cleansing guidelines for business users.</li><li>Coordinate effectively with functional, technical, and business teams to gather data requirements and secure necessary approvals.</li><li>Perform mock data loads, conduct reconciliations, and provide support during cutover and post-go-live phases.</li><li>Troubleshoot data load errors and ensure all migrations are successful and fully auditable.</li></ul><h3><strong>Required Experience</strong></h3><p>Candidates for this role should possess <strong>6 to 10 years of experience</strong> in data migration, with a strong focus on Oracle Cloud environments. Demonstrated proficiency in data migration tools and methodologies, including FBDI, ADFDi, HDL, and REST APIs, is essential.</p><h3><strong>Location and Employment Type</strong></h3><p>This is a <strong>full-time</strong> employment opportunity located in <strong>Jeddah, Makkah, Saudi Arabia</strong>. The role requires on-site presence and collaboration within the local team and project stakeholders.</p><h3><strong>Application Information</strong></h3><p>E-Solutions invites qualified candidates to apply. Salary for this position will be discussed directly with applicants during the interview process.</p>

<h3 >About the Data Engineer Infrastructure Role</h3> <p >Jobs AI is seeking a <strong >Data Engineer Infrastructure</strong> for a client located in <strong >Saudi Arabia</strong>. This <strong >contract</strong> position involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. The successful candidate will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.</p> <h3 >Client and Role Context</h3> <p >The client is recognized as a global leader within the <strong >Software Development, Technology, Information and Internet, and Data Infrastructure and Analytics</strong> industries. This role offers the opportunity to contribute to the modernization of data infrastructure and enable advanced analytics capabilities, directly impacting the client's operational efficiency and strategic insights.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.</li> <li >Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.</li> <li >Ensure data integrity, consistency, and security across all data assets and systems.</li> <li >Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.</li> <li >Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality data solutions.</li> </ul> <h3 >Experience and Qualifications</h3> <p >Candidates should possess <strong >2-5 years</strong> of experience in a relevant data engineering role. Jobs AI hires based on skills and expertise, welcoming all qualified candidates regardless of background or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p> <h3 >Work Arrangement and Compensation</h3> <p >This is a <strong >contract</strong> position that allows for remote work with flexible hours. The compensation for this role is competitive, ranging from <strong >$30 to $100 per hour</strong>.</p> <h3 >Application Process</h3> <p >Interested candidates are encouraged to apply, demonstrating their technical abilities and qualifications for this Data Engineer Infrastructure role.</p>

Behind every confident decision, there’s trusted information.<br>At SIMAH, we provide trusted credit information and insights that enable informed decision-making, promote responsible lending, and contribute to a stronger and more sustainable financial ecosystem.<br>Be part of the impact<br>About the Job. <br>Lead SIMAH’s enterprise-wide Data Quality Management strategy by defining policies, processes, and systems that ensure data integrity, accuracy, and reliability across all operations, fostering a culture of data excellence and compliance with regulatory and business requirements.<br>Key Responsibilities. <br>• Define and implement a robust Data Quality Management framework, including policies, procedures, processes, technologies, and staffing, to continuously monitor and enhance SIMAH’s business data.• Lead the identification and prioritization of Critical Data Elements (CDEs) to ensure their accuracy, reliability, and alignment with business objectives and regulatory standards.• Evaluate and establish key data quality metrics and validation rules to monitor the completeness, accuracy, timeliness, uniqueness, validity, and consistency of critical data assets.• Lead the development and management of tools and systems for data profiling, assessment, and validation, ensuring business-critical data is complete, accurate, and consistent.• Maintain transparent and timely processes for identifying, reporting, and resolving data quality issues in coordination with data providers, stewards, and owners.• Collaborate with IT and related teams to enhance data quality systems, dashboards, and reporting tools, enabling actionable insights and continuous improvement.• Advise senior management on data quality risks, trends, and opportunities to strengthen business decision-making and operational efficiency.<br>Requirements. Years of Experience:4+ years of relevant experience. Qualification:Bachelor’s in Computer Science, Data Analytics or any related field.

<h3><strong>About E-Solutions</strong></h3><p>E-Solutions is seeking an <strong>Oracle Cloud Data Migration Consultant</strong> to join our team. This <strong>full-time</strong> position is based in <strong>Jeddah, Makkah, Saudi Arabia</strong>, focusing on critical data migration initiatives for Oracle Cloud implementations.</p><h3><strong>The Role</strong></h3><p>The Oracle Cloud Data Migration Consultant will play a central role in ensuring the successful and auditable migration of data to Oracle Cloud platforms. This involves leading various stages of the data migration lifecycle, from initial extraction to post-go-live support, working closely with diverse project teams.</p><h3><strong>Key Responsibilities</strong></h3><ul><li>Lead activities related to data extraction, mapping, transformation, and validation.</li><li>Build and execute migration loads utilizing tools such as FBDI, ADFDi, HDL (for HCM), and REST APIs.</li><li>Develop essential documentation, including data templates, mapping sheets, and cleansing guidelines for business users.</li><li>Coordinate effectively with functional, technical, and business teams to gather data requirements and secure necessary approvals.</li><li>Perform mock data loads, conduct reconciliations, and provide support during cutover and post-go-live phases.</li><li>Troubleshoot data load errors and ensure all migrations are successful and fully auditable.</li></ul><h3><strong>Required Experience</strong></h3><p>Candidates for this role should possess <strong>6 to 10 years of experience</strong> in data migration, with a strong focus on Oracle Cloud environments. Demonstrated proficiency in data migration tools and methodologies, including FBDI, ADFDi, HDL, and REST APIs, is essential.</p><h3><strong>Location and Employment Type</strong></h3><p>This is a <strong>full-time</strong> employment opportunity located in <strong>Jeddah, Makkah, Saudi Arabia</strong>. The role requires on-site presence and collaboration within the local team and project stakeholders.</p><h3><strong>Application Information</strong></h3><p>E-Solutions invites qualified candidates to apply. Salary for this position will be discussed directly with applicants during the interview process.</p>

<p>We want a data scientist who can help turn biomarker data, product data, and longitudinal member data into sharper decisions, smarter systems, and more useful guidance. Work across analytics, experimentation, clinical intelligence, and product questions. Help identify signal in complex health and behavioral datasets. Be comfortable translating findings into tools, decisions, and product improvements. Apply</p>

<h3 >About Takamol Holding and the Role</h3> <p >Takamol Holding is seeking a <strong >Data Privacy Senior Specialist</strong> to join its team in Riyadh, Saudi Arabia. This full-time position is integral to supporting the design, implementation, and monitoring of Takamol’s personal data protection program.</p> <h3 >Role Overview</h3> <p >Reporting to the Data Management Senior Director, the Data Privacy Senior Specialist plays a critical role in safeguarding personal and sensitive information across the organization. This position is instrumental in embedding privacy-by-design principles into all data processing activities and fostering a robust culture of data protection throughout Takamol Holding.</p> <h3 >Key Responsibilities</h3> <ul > <li >Support the design, implementation, and ongoing monitoring of the personal data protection program.</li> <li >Safeguard personal and sensitive information across all organizational activities.</li> <li >Embed privacy-by-design principles into data processing activities and systems.</li> <li >Promote and cultivate a strong culture of data protection within the organization.</li> </ul> <h3 >Compliance and Standards Adherence</h3> <ul > <li >Ensure compliance with the Saudi Personal Data Protection Law (PDPL) and its Implementing Regulations.</li> <li >Align data protection practices with controls established by SDAIA and NDMO.</li> <li >Integrate global best practices in data privacy into Takamol’s operational framework.</li> </ul> <h3 >Required Experience</h3> <p >Candidates for this role should possess <strong >5 to 10 years of relevant professional experience</strong> in data privacy, data protection, or a closely related field. This experience should include practical application of data protection laws and frameworks.</p> <h3 >Application</h3> <p >Qualified professionals are invited to apply for this opportunity to contribute to Takamol Holding’s commitment to data privacy excellence.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Protection &amp; Privacy Specialist, you will support the organization's data privacy and protection initiatives by assisting in compliance activities, privacy risk assessments, Data Protection Impact Assessments (DPIAs), policy development, and awareness programs. You will collaborate with internal stakeholders to ensure personal data is processed securely and in accordance with applicable regulations. Key Responsibilities Support compliance with applicable data protection and privacy regulations, including the Saudi Personal Data Protection Law (PDPL) and NCA Data Cybersecurity Controls (DCC). Assist in identifying and assessing privacy risks associated with business processes and data processing activities. Support the development, review, and maintenance of privacy policies, procedures, and standards. Contribute to the implementation and continuous improvement of the organization's Data Protection &amp; Privacy Program. Assist in investigating privacy incidents and documenting findings and corrective actions. Support the execution of Data Protection Impact Assessments (DPIAs). Participate in privacy awareness campaigns and employee training programs. Coordinate with business units, Legal, IT, and external stakeholders to support compliance initiatives. Assist in data classification and governance activities. Monitor changes in privacy regulations and recommend improvements where appropriate. Prepare reports and documentation related to privacy compliance and governance activities.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Cybersecurity, Information Security, Computer Engineering, Systems Engineering, Telecommunications Engineering, Information Technology, or a related field. Minimum one year of experience in Cybersecurity, Data Protection, Privacy Compliance, Information Security, or completion of a Tamheer program in Data Protection &amp; Privacy. Understanding of Saudi Personal Data Protection Law (PDPL). Familiarity with NCA Data Cybersecurity Controls (DCC). Knowledge of privacy principles, data classification, and information governance. Understanding of Data Protection Impact Assessments (DPIAs) is preferred. Professional certifications in cybersecurity or data privacy (e.g., CDPSE, CIPM, CIPT, CIPP/E, ISO 27701, Security+) are an advantage. What We're Looking For Strong analytical and critical thinking skills. Excellent attention to detail. Effective communication and stakeholder engagement. Strong organizational and documentation skills. Ability to work collaboratively across departments. Passion for privacy, compliance, and continuous learning.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Role Overview</p><p>The Director of Data Platforms &amp; Intelligence is one of the most strategically significant leadership hires at webook. This role owns and integrates:</p><ul><li>Data Platforms</li><li>Analytics &amp; Insights</li><li>AI Enablement</li><li>Intelligence Products</li><li>Commercial Data Monetisation</li><li>Operational &amp; Executive Decision Intelligence</li></ul><p>This leader transforms webook s data into a revenue-driving, intelligence-generating engine .</p><p>What You ll Own</p><p>Data Platform Strategy &amp; Architecture</p><ul><li>Own the end-to-end data platform strategy aligned with product, engineering, and commercial goals</li><li>Architect scalable batch + streaming pipelines, real-time analytics, ML enablement, and multi-tenant access</li><li>Build on GCP (BigQuery / ClickHouse, Airflow, DBT, ML Ops)</li><li>Ensure resilience during extreme traffic spikes and major events</li></ul><p>Data Reliability &amp; Observability</p><ul><li>Implement full data observability (freshness, anomalies, schema drift, SLAs/SLOs)</li><li>Treat data incidents with production-level severity</li><li>Deliver trusted, always-on data for real-time ops and BI</li></ul><p>Business Intelligence &amp; Decision Intelligence</p><ul><li>Lead executive dashboards, KPI frameworks, forecasting, and operational metrics</li><li>Enable self-service analytics with governed semantic layers</li><li>Partner with Product, Marketing, Commercial, and Operations on proactive insights</li></ul><p>Partner &amp; Promoter Intelligence (Core 2026 Monetisation)</p><ul><li>Design and own data-as-a-product roadmap</li><li>Build promoter dashboards covering live entry &amp; capacity, forecasting, demand analysis, audience insights, market benchmarks, and queue &amp; throughput intelligence</li><li>Work with Commercial on pricing, packaging, and go-to-market</li></ul><p>AI Enablement &amp; Predictive Intelligence</p><ul><li>Build data foundations for AI and ML models</li><li>Support recommendation systems, conversational UX, forecasting, and anomaly detection</li><li>Operationalise models with monitoring and retraining</li></ul><p>Governance, Security &amp; Compliance</p><ul><li>Define policies for data access, retention, and protection</li><li>Ensure PDPL &amp; GDPR compliance in partnership with CISO &amp; DPO</li></ul><p>Leadership &amp; Organisation Building</p><ul><li>Lead Data Engineering, Analytics, BI, and Data Operations teams</li><li>Define org structure, hiring plans, and career ladders</li><li>Act as a core member of the Technology Leadership Team</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>15+ years in data engineering, analytics, BI, architecture, or data leadership</li><li>Proven experience building enterprise-grade data platforms</li><li>Experience commercialising external data or intelligence products</li><li>Deep knowledge of modern stacks (GCP, BigQuery/Snowflake/ClickHouse, streaming, BI tools)</li><li>Strong AI, ML Ops, KPI, and executive reporting expertise</li><li>Strong understanding of PDPL/GDPR</li><li>Excellent executive communication and influence</li></ul><p>Nice to Have</p><ul><li>Experience in ticketing, events, travel, marketplaces, or entertainment tech</li><li>Experience with multi-tenant data products</li><li>Experience delivering market intelligence to enterprise clients</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for analyzing healthcare and medical datasets to generate actionable insights, develop dashboards, support performance monitoring, and improve clinical and operational decision-making. The role requires close collaboration with clinical, policy, and analytics teams.</p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Title:</b></p><p><b>Data Entry Specialist (for Individuals with Disabilities)</b></p><p><b>Responsibilities:</b></p><p><b>Data entry accurately and quickly into dedicated systems.</b></p><p><b>Reviewing data and ensuring its accuracy before saving.</b></p><p><b>Interacting with office software such as Microsoft Office (Word, Excel).</b></p><p><b>Updating data regularly according to guidelines.</b></p><p><b>Collaborating with the team to ensure smooth workflow.</b></p><p><b>Requirements:</b></p><p><b>The applicant must be an individual with disabilities (with proof of disability if necessary).</b></p><p><b>Ability to use a computer and data entry software effectively.</b></p><p><b>Good communication skills to work within a team.</b></p><p><b>No experience is required in some cases, but previous experience in data entry is preferred.</b></p><p><b>Benefits:</b></p><p><b>Monthly salary: 4400 Riyals</b></p><p><b>Medical and social insurance.</b></p><p><b><u>A supportive and suitable work environment for individuals with disabilities.</u></b></p><p>Annual paid leave.</p><p><br></p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Data Entry Specialist </p></div>

<ul><li>Design and implement scalable, secure, and cost-effective data and AI architectures that align with business objectives.</li><li>Translate complex business requirements into robust technical solutions, leveraging cloud platforms and AI/ML technologies.</li><li>Lead the evaluation and selection of appropriate data platforms, AI tools, and MLOps strategies to drive innovation.</li><li>Develop and maintain architectural blueprints, data models, and technical roadmaps for data and AI initiatives.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s in computer engineering (or equivalent).</p></li><li><p>15+ years of progressive experience in data architecture and governance. </p></li><li><p>Enterprise data architecture and extend it to AI and MLOps capabilities to enable trusted analytics and scalable AI delivery. </p></li><li><p>Proven expertise in designing and deploying AI/ML models in production environments.</p></li><li><p>Hands-on experience with major cloud platforms (AWS, Azure, GCP) and their data/AI services.</p></li></ul>

Job Purpose<br>The Data Privacy Manager is responsible for leading the organization's data privacy program in alignment with the Personal Data Protection Law (PDPL) of Saudi Arabia and other applicable regulations. The role serves as the operational owner of the privacy framework and Data privacy platform , and ensuring that personal data processing activities across the organization meet regulatory requirements, contractual obligations, and internal privacy standards.<br>Duties & Responsibilities<br>Privacy Program & Governance<br>Operate and maintain the organization-wide data privacy program in line with PDPL, SDAIA regulations, and applicable cross-border data transfer requirements. Develop, maintain, and review privacy policies, procedures, standards, and notices. Maintain the Record of Processing Activities (ROPA) and ensure it remains accurate across all business units. Manage data classification, retention, and minimization controls in coordination with the data management and information security functions. Track regulatory developments (PDPL, SDAIA, NDMO, sector-specific guidance) and translate them into actionable internal requirements.<br>Privacy Operations Conduct and oversee Data Protection Impact Assessments (DPIA) and Privacy Impact Assessments (PIA) for new and existing processing activities. Manage the data subject rights (DSR) request lifecycle, including intake, validation, fulfilment, and reporting within regulatory timeframes. Lead the privacy incident response process, including breach assessment, notification to SDAIA and affected individuals, and post-incident remediation. Manage and operationalize Data Privacy technical platform .<br>Education & Experience<br>Working knowledge of the Saudi PDPL, SDAIA regulations, NDMO data management policies, and applicable sector regulations. Familiarity with international privacy frameworks (GDPR, CCPA, ISO 27701, NIST Privacy Framework). Strong understanding of personal data lifecycles, lawful processing bases, cross-border data transfer mechanisms, and privacy-by-design principles. Practical knowledge of privacy-enhancing technologies (PETs), pseudonymization, anonymization, and data masking. Understanding of how privacy controls integrate with information security, IAM, DLP, and data governance functions. Strong analytical, drafting, and stakeholder management skills. Strong understanding or market Data privacy tooling and solutions Ability to translate regulatory requirements into operational controls and platform configurations.<br>Required Skills<br>High level of Arabic and English both written and oral. Knowledge of IT & Cybersecurity High level of communication skills Expert in Microsoft Office such as Power Point and Excel<br>Specialized Knowledge and Certificates:<br>One or more of the following is required: CIPM, CIPP/E, CIPP/US, CDPO, or equivalent. CIPT, CISM, CISSP, or ISO 27701 Lead Implementer/Auditor are an advantage.

About the role:<br>Acuative is hiring a Senior Data Privacy Consultant to be embedded within the Personal Data Protection (PDP) function of a leading research university in Saudi Arabia. You will act as a hands-on extension of the DPO's team, running the day-to-day privacy operations program and strengthening the organization's compliance posture under the Saudi Personal Data Protection Law (PDPL) and SDAIA regulations. This is an operational role, not an advisory-only role. You will facilitate workshops with business units, populate and validate compliance artifacts, run assessments, manage incidents, and coach internal privacy champions so the organization becomes self-sufficient over time.<br>What you will do:<br>Records of Processing Activities (RoPAs) Identify business units and processing activities without RoPAs and build them through stakeholder workshops. Validate and update existing RoPAs with process owners, and secure sign-off from BU Heads and the DPO. Data Protection Impact Assessments (DPIAs) Develop or apply a process gating methodology to screen all processing activities and flag high-risk ones. Conduct DPIAs on high-risk activities, identify privacy risks and controls, assign risk and control owners, and obtain sign-off. Record all identified risks in the GRC platform and track them to closure. Third-Party Privacy Risk Management Identify data processors not yet subject to due diligence and build a High/Medium/Low risk tiering methodology. Assess high-risk processors, prescribe corrective actions and timelines, and coordinate with Procurement and the relevant BUs. Review vendor security controls in Data Processing Agreements (DPAs), perform transfer risk assessments, and embed required controls into DPAs and KSA Standard Contractual Clauses. Develop template security controls by contract type with Information Security, and update guidance for researchers on securing human subject research data. Data Breach Management Support the DPO on privacy incidents end to end: containment, root cause analysis, mitigation, and coordination with Cyber Incident Response, Legal, Communications, and HR. Support regulatory breach notifications and responses to SDAIA inquiries. Privacy Hub and Spoke Model Run workshops with BU Heads to appoint Privacy Champions across the organization. Define the Privacy Champion role (responsibilities, expectations) and secure management sign-off. Deliver 1-1 training to champions and manage a structured handover of privacy activities, with three months of SME support post-transition. Data Subject Rights (DSR) Handle DSR requests end to end: intake, register logging, validation, internal coordination, response, and closure. Identify and fix process bottlenecks in the DSR workflow. Data Minimization, Privacy Notices, and Retention Conduct data minimization reviews on intake forms, data sharing proposals, transfer risk assessments, and DPIAs. Review and update privacy notices based on RoPA and DPIA findings, changes in lawful basis, consent management, and legitimate interest procedures; draft new notices where needed. Review retention schedules against PDPL requirements and support process owners and technical stewards in setting compliant retention periods and technical SOPs for deletion. Privacy Training Develop and deliver specialized on-site privacy training for units and build online training modules. Ad-hoc Support Any other privacy tasks requested by the PDP function and the DPO.<br>What we are looking for:<br>Required:6+ years in data privacy, data protection, or GRC roles, with at least 2 years of hands-on operational privacy work (not purely policy or advisory). Deep working knowledge of the Saudi PDPL, its Implementing Regulations, the Data Transfer Regulations, and SDAIA guidance. Familiarity with GDPR is a strong plus. Proven experience building and maintaining RoPAs, conducting DPIAs, and running third-party privacy risk assessments. Experience managing personal data breaches, including regulatory notification. Experience handling Data Subject Rights requests and maintaining a DSR register. Strong workshop facilitation and stakeholder management skills across business, legal, IT, security, and procurement teams. Ability to draft clear compliance documentation: DPAs, SCCs, privacy notices, retention schedules, role definitions, and training material. Fluent English, written and spoken. Willingness to work on-site full-time in Thuwal, KSA.<br>Preferred:<br>CIPP/E, CIPM, CIPT, or equivalent privacy certification. Experience with GRC platforms (e.g., Service Now GRC, One Trust, Archer) for risk logging and tracking. Background in higher education, research institutions, or other environments handling human subject research data. Arabic language proficiency. Experience with information security frameworks (ISO 27001, NCA ECC) and reviewing technical security controls in vendor contracts.

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.<br><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><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. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br><br>What We Do<br><br>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.<br><br>About The Role<br><br>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 tools such as Apify, Open Router, and other technologies, alongside your own technical expertise and approaches.<br><br>Key Responsibilities<br><br>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 requirements Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-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<br><br>Educational Qualifications<br><br>At least 3+ 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<br><br>Academic and/or Professional Experience<br><br>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 web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>Strong experience in Python web scraping (Beautiful Soup, 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)<br><br>Additional Requirements<br><br>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 Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>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.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>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.

<h3 >About Almosafer</h3> <p >Almosafer is Saudi Arabia’s leading travel company, actively shaping the future of the travel industry. Serving millions across every segment of the travel and tourism ecosystem, Almosafer aims to make every journey seamless, personal, and purposeful, reflecting its name, which means "the traveler." The company’s diverse platforms and services are designed to deliver enriching experiences that resonate with the spirit of Saudi Arabia and the wider region. Almosafer’s vision is to be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.</p> <h3 >About the Role</h3> <p >Almosafer is seeking a <strong >Specialist Data Intelligence</strong> to join its Data Intelligence team. In this full-time role, based in <strong >Riyadh, Saudi Arabia</strong>, you will function as a Commercial Data Analyst. The primary responsibility involves leveraging Almosafer's comprehensive travel commerce data, including bookings, customer, pricing, supplier, and revenue information, to generate actionable insights. These insights will inform business strategy, optimize commercial performance, and enable data-driven decision-making across key departments such as Sourcing, Revenue Management, Product, Sales, and Marketing. This position requires 2-5 years of relevant experience.</p> <h3 >Key Responsibilities</h3> <ul > <li >Explore and analyze in-house datasets, including transactional, sourcing, connectivity, and competitive intelligence, to generate meaningful insights.</li> <li >Conduct deep-dive and ad-hoc analyses to identify trends, patterns, and opportunities that drive revenue and margin improvement.</li> <li >Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems.</li> <li >Translate data findings into clear, concise, and actionable insights and business recommendations.</li> <li >Present analysis to stakeholders using visualizations and storytelling to support strategic decisions and achieve impactful results.</li> <li >Contribute to the development and evolution of Commercial Data Products by providing insights, testing hypotheses, and validating assumptions.</li> <li >Help shape KPIs, reporting metrics, and dashboards aligned with business goals.</li> <li >Proactively suggest opportunities for optimization and process improvement using data insights, and stay updated with industry trends and analytics tools.</li> <li >Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales &amp; Marketing) to understand their data needs and deliver impactful analytical solutions.</li> <li >Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms to support operational analytics.</li> <li >Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams.</li> <li >Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies, and drive data literacy and analytical best practices across teams.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >2-5 years of experience in a data analysis or business intelligence role, preferably within a commercial or travel industry context.</li> <li >Demonstrated ability to explore and analyze complex datasets to generate actionable insights and identify business opportunities.</li> <li >Proficiency in designing and implementing automated analytics solutions using tools such as SQL, Python, and cloud-based data platforms.</li> <li >Strong communication skills to translate data findings into clear recommendations and present them effectively to diverse stakeholders.</li> <li >Experience collaborating with cross-functional teams and acting as a mutual data partner and advisor.</li> <li >Understanding of enterprise data governance and quality standards.</li> </ul> <h3 >Working at Almosafer</h3> <p >At Almosafer, teams operate with purpose, clarity, and a shared commitment to accountability, trust, and collaboration. The company fosters a purpose-led workplace where individual ideas can create real impact. Almosafer supports ongoing learning and development to facilitate professional growth and provides recognition for achievements. The work environment is built on a community of trust, curiosity, and shared momentum, offering space for individuals to connect and contribute meaningfully.</p> <h3 >Location and Work Type</h3> <p >This is a full-time position located in Riyadh, Riyadh, Saudi Arabia.</p>

<p>Mindrift is looking for highly skilled Web Scraping 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 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>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.</p><p>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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p>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 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.</p><p>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.</p><p>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><h2>Educational qualifications</h2><p>At least 3+ 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><h2>Academic and/or Professional Experience</h2><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 web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><h2>Technical Skills (Essential)</h2><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><h2>Additional requirements</h2><ul><li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving</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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Data Analyst supports Operations across both Manufacturing and Logistics by transforming data into meaningful insights that drive informed decision-making. This role requires strong analytical capabilities, proficiency in statistical modeling, and expertise in business intelligence tools to help optimize operational performance. The Data Analyst collaborates with cross-functional teams to identify trends, evaluate operational metrics, and develop actionable insights that support strategic initiatives and improve business outcomes. Responsibilities include analyzing large datasets, building dashboards and reports, and providing leadership with clear, data-driven recommendations. Success in this role requires a strong technical foundation, attention to detail, and the ability to communicate complex information in a clear and concise manner. The ideal candidate thrives in a fast-paced environment and is passionate about using data to solve operational challenges and enhance organizational performance.</p><p>Key Responsibilities:</p><ul><li>Gathering business data and reporting requirements from stakeholders, business owners and users from the Manufacturing domain for metrics used to monitor business performance.</li><li>Making large and/or complex data more accessible, understandable and usable.</li><li>Analyze complex data sets to identify patterns, trends, and insights for all operational teams.</li><li>Transforming, improving, and integrating data, depending on the business requirements.</li><li>Develop and maintain robust dashboards, reports, and visualizations to communicate findings to stakeholders at all levels.</li><li>Report findings and recommendations to leadership, translating complex analyses into clear, actionable insights.</li><li>Collaborate with various departments to define key performance indicators (KPIs) and metrics to automate reporting tools &amp; techniques.</li><li>Conduct advanced statistical analyses and modeling to support business forecasting and scenario planning.</li><li>Ensure data integrity and accuracy by implementing best practices in data management and governance.</li><li>Visualize performance data in LUCID standard live dashboards formats.</li><li>Stay up to date with industry trends and best practices in data analytics and visualization tools.</li><li>Connecting to various systems and a data warehouse to deliver the data in a useful and appealing way to users.</li><li>Access technical capabilities of the data framework to deliver data from a latency and accessibility perspective (laptop, mobile, TVs, etc.) and provide technical solutions as needed.</li></ul><p>Skills:</p><ul><li>Strong analytical and problem-solving skills, with the ability to interpret complex data and identify actionable insights.</li><li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</li><li>Demonstrated project management abilities, including the ability to prioritize tasks, manage timelines, and allocate resources effectively.</li><li>Ability to deep-dive data from both a top-down and bottom-up approach.</li><li>Ability to think strategically and communicate strategies effectively.</li><li>Experience in the Automotive Industry (OEM or Tier 1 Suppliers).</li><li>Experience working in a dynamic/start-up environment is a plus.</li><li>Flexibility in the work schedule is required (to include evenings and weekends, as needed).</li><li>Advanced skills in Python or other general-purpose programming language, Microsoft office advanced user.</li><li>Working knowledge of Smartsheet, SAP, JIRA, Tableau, and any costing software.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in engineering, Supply Chain, Finance, Data Science, or equivalent experience in a related field.</li><li>3-5+ years of experience in data analytics, reporting, visualization, Python, etc.</li><li>Advanced degree in a relevant field.</li><li>Experience with complex analysis and data analytics in a Manufacturing context.</li><li>In-depth understanding of automotive Interior market dynamics and performance reporting mechanisms.</li><li>Competency with SQL, Tableau and other data visualization software.</li><li>Ability to manage multiple priorities and make strategic decisions.</li><li>Creative problem-solver with calculated risk-taking ability.</li><li>Experience in supplier relationship management and dispute resolution.</li><li>Knowledge of automotive industry trends and emerging technologies in Interior components.</li><li>Cost Engineering experience.</li><li>Start-up working experience is a plus.</li></ul><p></p></section>