data scientist

data analyst

senior data analyst

associate data engineer

business data analyst

big data developer

Alhokair Group

4. Big ID Expert - Data Protection ConsultantCompany: Industry  Diversified Group Job Location  Riyadh, Saudi Arabia Career Level  Senior (Team Leader/Staff Supervisor) Date Posted  28-10-2025 Ref. Number  165780 Years of Experience: 5 - 16  Big ID Expert - Data Protection ConsultantJob Description and Requirements: Big ID Expert - Data Protection Consultant for our Banking domain Client in Riyadh. : Bachelor's degree in computer science, Information Technology, or a related field. 5+ years of experience working with the BigID platform or in a similar role. Demonstrable expertise in the Saudi Personal Data Protection Law (PDPL) and its Implementing Regulations. Proven experience working with data governance, privacy, and cybersecurity frameworks specific to the Saudi financial sector (e.g., SAMA's Cyber Security Framework, IT Governance Framework). Strong understanding of privacy principles such as data minimization, purpose limitation, and accountability. Excellent communication, interpersonal, and leadership skills, with the ability to influence stakeholders at all levels. High level of integrity and professional ethics, with the ability to handle confidential information with discretion. Kindly send CVs to : Industry  Diversified Group Job Location  Riyadh, Saudi Arabia Career Level  Senior (Team Leader/Staff Supervisor) Date Posted  28-10-2025 Ref. Number  165780 Years of Experience: 5 - 16

Big ID Expert - Data Protection Consultant

Amco IT Systems

Job Title: Snowflake DeveloperLocation: Saudi ArabiaExperience: 3&ndash;5 yearsJob Summary:We&rsquo;re looking for a Snowflake Developer to build and optimize data pipelines and warehouse solutions. The ideal candidate should have hands-on experience with Snowflake architecture, strong SQL skills, and expertise in data modeling and workflow automation.Key Responsibilities:<ul><li>Design and optimize Snowflake-based data pipelines.</li><li>Implement Snowpipe, Streams, Tasks, and Virtual Warehouses.</li><li>Automate workflows using Airflow or Luigi.</li><li>Integrate Snowflake with GCP and other cloud platforms.</li></ul>Requirements:<ul><li>3&ndash;5 years&rsquo; experience in data engineering.</li><li>Strong SQL and data warehouse skills.</li><li>Proficiency in Snowflake and cloud integrations (preferably GCP).</li></ul>Job Type: Contract Contract length: 6 monthsAbility to commute/relocate:<ul><li>Riyadh: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your Nationality?</li><li>What is your notice period in days?</li><li>What is your current monthly salary?</li><li>What is your expected monthly salary in SAR?</li><li>How many years of experience do you have as a Snowflake developer?</li><li>Are you comfortable with 6 months contract (extendable)</li></ul>Language:<ul><li>Arabic (Required)</li></ul>

Snowflake Developr

Capgemini - Zcomme

The Role
 We are seeking a skilled and detail-oriented Data Engineer to join our team and support a transformative Generative AI (GenAI) initiative. In this role, you will be responsible for designing, developing, and maintaining the data infrastructure that powers advanced AI models. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient data workflows, reliable pipelines, and scalable systems that enable high-performance AI applications. Requirements: • Proficiency in Python is a must and other programming languages relevant to data engineering, such as Scala, or Java, and familiarity with Big Data processing frameworks (e.g., Apache Spark, Hadoop). • Build and maintain data lakes, warehouses, and feature stores optimized for GenAI workloads. • Experience with relational SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, and Cassandra. • Knowledge of data modeling, ETL (Extract, Transform, Load) processes, and data warehousing solutions. • Understanding of machine learning model requirements in terms of data preparation, feature engineering, and data augmentation. • Skills in implementing data pipelines and workflows using tools like Apache Airflow, Luigi, or similar technologies. • Understanding of big data technologies and practices, including data lakes, data streams, and real-time data processing. • Demonstrated ability to design and implement effective data architecture that supports large-scale, high-performance data processing. • Ability to work closely with data scientists, machine learning engineers, and software developers to understand data needs and deliver solutions that support AI model development. • Eagerness to explore new tools and technologies that can enhance the data infrastructure and support the evolving needs of generative AI product development. • Experience with version control systems (e.g., Git) and collaboration tools (e.g., GitLab) for managing codebases and documentation.
 
Requirements
 Skills & Experience: • Proven experience in data engineering, preferably in AI/ML or GenAI environments. • Strong technical background in AI technologies, including machine learning, natural language processing, and deep learning. • Knowledge of MLOps tools and practices (e.g., MLflow, DVC). • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders. • Strong problem-solving skills and a creative approach to developing innovative solutions. • Strong ability to work collaboratively with cross-functional teams. • Agile methodology experience is preferred. • Bachelor degree in computer science, Data Science, Information Technology, or a related field with a strong emphasis on data engineering, database design, or big data technologies.
 
About the company
 Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of 22 billion.

Data Engineer

dubizzle

<div>
 
 
 As the Acquisition Associate, you will be responsible for proactively identifying new real estate development opportunities. You will conduct both on-ground scouting, visit sites and engage with sales teams, and in-depth online and governmental research to uncover projects at various stages. Your responsibilities extend to meticulously collecting, structuring, and maintaining this raw data in our centralised dashboard. By ensuring data validation and providing timely insights, you will act as the primary filter for our Business Development team, driving early opportunity identification and supporting strategic decision-making
 
 
 
 
 KEY RESPONSIBILITIES:
 
 
 
 
 On-Ground Project Scouting
 
 
 <ul>
 <li>
 Conduct physical site visits to identify under-construction, newly launched, or pre-launch real estate projects
 </li>
 <li>
 Engage with site personnel, brokers, or sales teams to gather basic project details and developer contacts
 </li>
 <li>
 Monitor signage, hoardings, and field activity to identify new opportunities in target zones
 </li>
 </ul>
 
 
 Online &amp; Governmental Research
 
 
 <ul>
 <li>
 Scan online portals, real estate websites, and regulatory platforms (e.g., Balady, WAFI, municipalities) to identify newly approved projects
 </li>
 <li>
 Extract approval statuses, license numbers, developer registrations, and project milestones
 </li>
 </ul>
 
 
 Raw Data Collection &amp; Structuring
 
 
 <ul>
 <li>
 Gather project-specific data, including location, land size, developer name, stage of construction, and contact details
 </li>
 <li>
 Record and upload data in a standardised format to a centralised backend dashboard created for business development
 </li>
 </ul>
 
 
 Dashboard Management &amp; Updation
 
 
 <ul>
 <li>
 Maintain and regularly update the internal database with verified, timestamped entries for all scouted projects
 </li>
 <li>
 Classify entries by project stage (approved, under construction, nearing completion), region, and developer profile
 </li>
 </ul>
 
 
 Data Validation &amp; Coordination
 
 
 <ul>
 <li>
 Coordinate with Relationship Managers to validate project information before initiating commercial discussions
 </li>
 <li>
 Share field insights to support negotiation strategies, feasibility assessments, and project prioritisation
 </li>
 </ul>
 
 
 Early Opportunity Identification
 
 
 <ul>
 <li>
 Act as the first layer of opportunity filtration for business development by continuously identifying fresh leads
 </li>
 <li>
 Provide timely alerts for projects in high-demand corridors, newly launched phases, or government-endorsed zones
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 
 
 Qualifications :
 
 
 <ul>
 <li>
 Graduate degree in business, finance and/or economics. BBA is preferred
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 3 years of experience in a similar role in the same industry
 </li>
 </ul>
 
 
 Knowledge:
 
 
 <ul>
 <ul>
 <li>
 Familiarity with the KSA real estate business and industry, and upcoming projects in KSA, would be highly advantageous given the context
 </li>
 <li>
 Familiarity with real estate terminology, project stages (pre-launch, under construction, completed), and market dynamics (e.g., high-demand corridors)
 </li>
 <li>
 Research &amp; Information Gathering: Strong ability to effectively utilise various sources (on-ground, online portals, government sites) to extract relevant project details
 </li>
 <li>
 Data Management &amp; Organisation: Proficiency in organising, standardising, and maintaining large datasets within a digital dashboard. Understanding of database principles is a plus
 </li>
 <li>
 Proficient in using online platforms, real estate portals, regulatory websites, and internal digital dashboards
 </li>
 </ul>
 </ul>
 
 
 Skills:
 
 
 <ul>
 <li>
 Analytics, Stakeholder Management, Data Compilation, Contracts, MIS
 </li>
 <li>
 Attention to Detail &amp; Accuracy: Meticulousness in collecting, structuring, and inputting data to ensure accuracy and completeness. Errors in this role would have significant downstream impacts
 </li>
 <li>
 Communication &amp; Interpersonal Skills: Ability to engage effectively with site personnel, brokers, sales teams, and internal Relationship Managers to gather and validate information
 </li>
 </ul>
 
 
 Traits:
 
 
 <ul>
 <li>
 Business Focused, Strategic Orientation, Innovative, Go Getter
 </li>
 <li>
 The ability to independently and systematically scout for new real estate projects, both physically and digitally. This includes initiative in seeking out information
 </li>
 
 
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 High-performing and fast-paced work environment
 </li>
 <li>
 Comprehensive Health Insurance
 </li>
 <li>
 Rewards and recognition
 </li>
 <li>
 Learning &amp; Development
 
 
 Bayut is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees
 </li>
 </ul>
 
 #BayutKSA
 
</div>

Acquisitions Associate

LeadingEdge HR Solutions

<div>
 
 Title: Strategy Consultant
 
 
 
 
 Contract: 6 months
 
 
 
 
 Industry: Banking experiece is a Must
 
 
 
 
 Location: Riyadh (Onsite)
 
 
 
 
 Immediate joiner: within a month
 
 
 
 
 Experience: Must have Big 4 experience or Big consulting experience
 
 
 
 
 Project: Need a peron for banking transformation
 
 
 
 
 About The Role
 
 
 
 Our client is seeking a highly skilled Senior Strategy Consultant with banking experience to lead high-impact strategic transformation projects and support business growth initiatives. This role is ideal for an experienced professional with a consulting background, preferably from a top-tier firm, who excels in strategy formulation, market analysis, and execution planning.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead strategic assessments and develop actionable recommendations to solve complex business challenges.
 </li>
 <li>
 Conduct market research, industry benchmarking, and data-driven analysis to support strategic decisions.
 </li>
 <li>
 Collaborate with cross-functional teams to define project objectives, deliverables, and timelines.
 </li>
 <li>
 Prepare structured reports and presentations for executive-level stakeholders.
 </li>
 <li>
 Drive implementation of strategic initiatives to ensure measurable business outcomes.
 </li>
 <li>
 Support client teams in translating strategy into operational plans.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience in strategic business transformation in Banking sector.
 </li>
 <li>
 Previous experience at a recognised consulting firm (e.g., Big Four, McKinsey, BCG, Bain, or similar).
 </li>
 <li>
 Strong background in business strategy, market assessment, and transformation projects in Banking sector.
 </li>
 <li>
 Exceptional analytical, communication, and stakeholder management skills.
 </li>
 <li>
 Ability to thrive in a dynamic, fast-paced environment and deliver under tight timelines.
 </li>
 <li>
 Familiarity with Middle East markets is an advantage.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Professionals with experience in strategic planning, organizational transformation, or business performance improvement are strongly encouraged to apply.
</div>

Strategy Consultant_Bank

Tamkeen Human Resource (THR)

<div>
 
 
 Position: X++ Senior Developer &ndash; Microsoft Dynamics 365 (D365 F&amp;O)
 
 
 
 
 Experience:
 
 
 5+ years
 
 in D365 F&amp;O development in service-based organizations
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and customize D365 F&amp;O modules (manpower, drivers, housing, etc.)
 </li>
 <li>
 Build integrations with HR, Payroll, and B2C systems using
 
 OData, REST APIs, Power Platform
 
 </li>
 <li>
 Troubleshoot performance and code issues
 </li>
 <li>
 Collaborate with functional teams to convert business needs into technical solutions
 </li>
 <li>
 Ensure code quality, version control, and best-practice development
 </li>
 <li>
 Microsoft Certified: D365 Finance &amp; Operations Apps Developer Associate
 </li>
 </ul>
 
 
 
 
 
 Mandatory Technical Skills
 
 
 <ul>
 <li>
 Strong expertise in
 
 X++
 
 ,
 
 C#
 
 ,
 
 Azure DevOps
 
 </li>
 <li>
 Hands-on development experience in
 
 D365 F&amp;O
 
 customizations and integrations
 </li>
 <li>
 Solid knowledge of D365 data model, extensibility patterns, API development
 </li>
 <li>
 Experience in complex, highly customized environments
 </li>
 <li>
 Strong understanding of system integrations &amp; performance optimization
 </li>
 <li>
 Team-based delivery mindset (not isolated development)
 </li>
 <li>
 Azure DevOps (backlog, test cases)
 </li>
 <li>
 Agile / Scrum
 </li>
 <li>
 Reporting:
 
 Management Reporter, Power BI
 
 </li>
 </ul>
 
 
</div>

X++ Senior Developer – Microsoft Dynamics 365

Jawraa

<ul><li>Experience Required</li><li>5 years in data management &amp; governance</li><li>Mandatory experience in AI projects</li><li>Familiarity with government datasets, data classification, and secure storage</li></ul><ul><li>Regulatory &amp; Governance Knowledge (MANDATORY)</li></ul>&#10004; SDAIA Frameworks &#10004; PDPL (Personal Data Protection Law) &#10004; NDMO (National Data Management Office) Standards &#10004; DAMA (Data Management Body of Knowledge) &#10004; Data security + encryption standards &#10004; Government operational models &#10004; Cloud (OCI) + cloud security &#10004; AI components and data pipelines<ul><li>Responsibilities </li><li>Manage structured &amp; unstructured datasets.</li><li>Validate and optimize data for AI models.</li><li>Create dashboards, reports, and insights.</li><li>Ensure compliance with PDPL, SDAIA, and NDMO requirements.</li><li>Maintain metadata, lineage, and documentation.</li><li>Support MLOps and AI data workflows.</li></ul><ul><li>Technical Skills</li><li>SQL, Python, ETL Tools</li><li>Power BI / Tableau</li><li>Data quality frameworks</li><li>Cloud storage &amp; architecture (OCI mandatory)</li><li>Data security practices</li></ul><ul><li>Soft Skills</li><li>Detail-oriented</li><li>Critical thinking</li><li>Communication skills Certifications</li><li>CNCF (preferred)</li><li>DAMA DMBOK (big advantage)</li><li>Azure/AWS/OCI Data certifications</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsPay: Up to &#65020;11,050.00 per month

Data Management Analyst

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