business analyst

sales engineer

data scientist

electrical engineer

production engineer

data engineer

MASTER-WORKS

<div><p>Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.</p><p></p><p>
Data Engineer Roles and Responsibilities:
</p><p>1. Data Collection and Integration: Data engineers collect data from various sources, including databases, APIs, external data providers, and streaming sources. They must design and implement efficient data pipelines to ensure a smooth flow of information into the data warehouse or storage system.
</p><p>2. Data Storage and Management: Once the data is collected, data engineers are responsible for its storage and management. This involves choosing appropriate database systems, optimizing data schemas, and ensuring data quality and integrity. They also must consider scalability and performance to handle large volumes of data.
</p><p>3. ETL (Extract, Transform, Load) Processes: ETL is a fundamental process in data engineering. Data engineers design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts.
</p><p>4. Big Data Technologies: In today's data landscape, dealing with big data is the norm rather than the exception. Data engineers work with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets.
</p><p>5. NoSQL Databases: In addition to traditional relational databases, data engineers often work with NoSQL databases like MongoDB and Cassandra, which are well-suited for handling unstructured or semi-structured data.</p><p>
6. Cloud Computing: Cloud platforms like AWS, Azure, and Google Cloud have become the backbone of modern data infrastructure. Data engineers leverage these platforms to build scalable and cost-effective data solutions.
</p><p>7. Distributed Systems: Data engineering often involves distributed systems architecture to handle huge data volumes and ensure fault tolerance. Understanding how distributed systems work is essential for data engineers. 8. Streaming Data: Real-time data processing is crucial in many industries. Data engineers work with streaming technologies like Apache Kafka to handle and analyze data as it flows in<br>
</p><br>
<br>
<b>Requirements</b><p><br>
Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.</p><p>
preferably 5+ years of experience.</p></div><p></p>

Data Engineer

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Ar Riyad</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>Job Overview:<br>
</div><div>
We are looking for a detail-oriented and analytical <b>Data Analytics Engineer</b> with <b>3+ years of experience</b> in data analysis, reporting, and dashboard development. The ideal candidate should have strong hands-on experience in <b>Power BI</b>, data modeling, SQL, and transforming raw data into meaningful business insights to support decision-making.</div><div></div><p><b><br>
Key Responsibilities:</b></p><br>
<ul><li>
Develop, maintain, and optimize <b>interactive dashboards and reports in Power BI</b>.<br>
</li><li>
Gather, analyze, and interpret data from multiple sources to provide actionable insights.<br>
</li><li>
Design and implement <b>data models, DAX measures, and calculated fields</b> in Power BI.<br>
</li><li>
Create <b>ETL / data transformation workflows</b> using Power Query and SQL.<br>
</li><li>
Work closely with business stakeholders to understand reporting requirements and translate them into dashboards.<br>
</li><li>
Ensure data accuracy, consistency, and integrity across reports and systems.<br>
</li><li>
Monitor report performance and improve dashboard usability and visualization standards.<br>
</li><li>
Support ad hoc data analysis requests and generate periodic MIS reports.<br>
</li><li>
Collaborate with cross-functional teams including IT, business, and operations teams.</li></ul><p><b><br>
</b><br>
</p><div></div><br>
<br>
<h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li>
3+ years of experience in <b>Data Analytics / BI Engineering / Reporting</b><br>
</li><li>
Strong expertise in <b>Power BI (Dashboards, DAX, Power Query, Data Modeling)</b><br>
</li><li>
Good experience in <b>SQL queries, joins, stored procedures, and data extraction</b><br>
</li><li>
Knowledge of <b>Excel (advanced formulas, pivot tables, data analysis)</b><br>
</li><li>
Understanding of <b>ETL processes and data warehousing concepts</b><br>
</li><li>
Strong analytical and problem-solving skills<br>
</li><li>
Good communication and stakeholder management skills</li></ul><p><b><br>
Preferred Skills:</b></p><br>
<ul><li>
Experience with <b>Python / Excel VBA / Tableau</b> is an added advantage<br>
</li><li>
Exposure to <b>Azure / cloud-based data platforms</b> preferred<br>
</li><li>
Knowledge of KPI reporting and business intelligence best practices</li></ul></div></div></div><p></p>

Data Analytics Engineer

Red Sea Global

<div>
 <p>
  <strong>
   Be the change. Join the world&rsquo;s most visionary developer.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Join RSG and be part of the positive change for Saudi Arabia and the world.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <ul>
  <li>
   Supervise the delivery and operation of data engineering pipelines and platforms by coordinating implementation activities, enforcing data quality and compliance requirements, and ensuring reliable, secure, and timely data availability for analytics and AI use cases.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Supervise the development, execution, and maintenance of data pipelines to ensure consistent ingestion, transformation, and delivery of data in line with approved technical designs and operational requirements.
  </li>
  <li>
   Control compliance with data protection, privacy, and governance requirements by ensuring PDPL-aligned data handling, access controls, logging, and documentation across data engineering activities.
  </li>
  <li>
   Review data pipeline performance, stability, and data integrity, coordinating corrective actions for failures, delays, or quality issues with engineering and platform teams.
  </li>
  <li>
   Optimize data processing workflows, scheduling logic, and storage configurations to improve performance, availability, and cost efficiency within approved cloud environments.
  </li>
  <li>
   Coordinate with data science, analytics, and business teams to translate data requirements into executable pipelines and curated datasets aligned with agreed specifications and service expectations.
  </li>
  <li>
   Plan and oversee implementation of data quality checks, validation rules, and monitoring mechanisms to ensure engineered datasets meet usability and consistency standards.
  </li>
  <li>
   Participate in deployment and operational support of cloud-based data platforms, orchestration tools, and automation frameworks in accordance with approved architectures.
  </li>
  <li>
   Review infrastructure-as-code scripts and deployment pipelines to ensure controlled releases, environment consistency, and minimal disruption to data services.
  </li>
  <li>
   Assist in incident response activities by supporting root-cause analysis, remediation planning, and documentation for data pipeline and platform issues.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Requirements:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Academic Qualifications:
   </strong>
   Bachelor&rsquo;s degree in computer science, Data Engineering, or Information Systems, or a related field.
  </li>
  <li>
   <strong>
    Years of Experience:
   </strong>
   6 years of relevant experience.
  </li>
  <li>
   <strong>
    Other Requirements:
   </strong>
   AWS Certified Data Analytics, Microsoft Azure Data Engineer Associate, or Google Professional Data Engineer is preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   For more information about Red Sea Global, visit:
  </strong>
 </p>
 <p>
  🌐 Website: https://www.redseaglobal.com/en
 </p>
 <p>
  🔗 LinkedIn: https://www.linkedin.com/company/red-sea-global/
 </p>
 <p>
  ▶️YouTube: https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
 </p>
 <p>
  🐦 Twitter: @TheRedSeaGlobal
 </p>
</div>


Assistant Manager – Data Engineering

MA'ADEN

<div><p><b>Job Purpose
</b></p><p>The Principal Specialist, Engineering and ETL (OT) provides enterprise leadership for OT data engineering, enabling reliable ingestion, transformation, and availability of operational data for analytics, operations, and performance management. The role defines OT pipeline standards and assures that OT data is delivered with quality, lineage, security, and appropriate latency across sites.
</p><p>This position is responsible for defining scalable patterns for integrating historians and industrial systems into enterprise platforms, guiding teams through complex OT constraints, and ensuring operational data products are sustainable and governed.
 </p><p><b>Key Accountabilities
</b></p><div><ul><li>Define OT data engineering and ETL standards, patterns, and reference architectures covering batch, streaming, and near-real-time ingestion needs.
</li></ul><ul><li>Establish ingestion patterns for historians and OT source systems, including normalization, unit standardization, quality flags, and tag mapping processes.
</li></ul><ul><li>Design and assure robust pipeline reliability (idempotency, backfill, late-arriving data handling, reconciliation, alerting) appropriate for OT contexts.
</li></ul><ul><li>Ensure OT pipelines comply with security and segmentation requirements; partner with OT cyber and platform security teams for governance-by-design.
</li></ul><ul><li>Oversee and guide OT data transformation logic to produce curated OT data products aligned to enterprise models and governance requirements.
</li></ul><ul><li>Provide architectural oversight for site onboarding, handling variability across plants and ensuring consistent delivery standards across implementations.
</li></ul><ul><li>Review and assure vendor and internal deliverables; provide technical direction and quality gates for complex OT engineering initiatives.
</li></ul>Drive continuous improvement through performance tuning, cost optimization, observability, and operational resilience improvements for OT workloads.<br>
<ul><li>
</li></ul></div><p></p><p><b>Minimum Qualification, Experience and Competencies
</b></p><p><b>Minimum Qualification
</b></p><ul><li><p>Bachelor&rsquo;s degree in Computer Science/Engineering, Data Engineering, Industrial Engineering, or related field.
</p></li><li><p>Master&rsquo;s degree preferred; OT systems exposure is an advantage.<br>
</p></li></ul><p></p><p><b>Minimum Experience
</b></p><ul><li>10&ndash;15 years of experience in data engineering/ETL with demonstrated exposure to OT/industrial data environments.
</li><li>Experience designing ingestion from historians/OT systems and delivering analytics-ready OT datasets at enterprise scale.
</li></ul><p><b>Skills:
</b></p><ul><li>Strong OT data engineering expertise including ingestion from historians, handling time-series characteristics, and ensuring data quality.
</li><li>Ability to design scalable, secure OT-to-IT data pipelines with governance, lineage, and auditability.
</li><li>Advanced pipeline engineering practices (reliability, observability, orchestration, performance tuning).
</li><li>Stakeholder leadership across plant operations, OT engineering, IT, and analytics consumers.
</li><li>Vendor assurance and technical governance for complex multi-site delivery programs.</li></ul></div>

Principal Specialist, Engineering and ETL (OT)

<div><p>Data Architect Posi on Overview the Data Architect is responsible for designing, structuring, and maintaining the organization&rsquo;s on-premises Microsoft -based data architecture. This role focuses on building scalable, secure, and efficient data models, optimizing SQL Server environments, enforcing data governance policies, and enabling advanced analyze cs and AI capability es using Microsoft technologies.</p><p><br>
</p><p>Core Responsibilities:</p><p>
1. Data Modelling and Database Design
</p><p>. Develop and maintain conceptual, logical, and physical data models using Microsoft tools (e.g., SQL Server Management Studio, Power Designer). &middot; Design normalized and denormalized relational database schemas on Microsoft SQL Server.
</p><ul><li>Ensure data structures support business operations, reporting needs, and AI/ML initiatives</li></ul><p></p><p><br>
2. SQL Server Administration and Optimization
</p><ul><li>Administer Microsoft SQL Server instances, including installation, configuration on, security hardening, and patching.</li><li>Optimize database performance through indexing strategies, partitioning, query tuning, and server resource management.
</li><li>Implement backup, recovery, replica on, and high-availability solutions (e.g., Always on Availability Groups, SQL Server Clustering).</li></ul><p><br>
</p><p>3. Data Governance and Compliance
</p><ul><li>Establish and maintain data governance frameworks aligned with corporate and regulatory requirements (e.g., GDPR, HIPAA).
</li><li>Implement data classification, encryption (TDE), access control (role-based security), and auditing features of SQL Server.</li><li>Manage metadata and ensure consistent data definitions across the organization.</li></ul><p></p><p><br>
4. Business Intelligence and Data Warehousing Support
</p><ul><li>Architect and manage data warehouses and data marts using SQL Server Analysis Services (SSAS) and SQL Server Integra on Services (SSIS).</li><li>Design ETL/ELT processes for data ingestion on, transformation on, and loading using SSIS and stored procedures.
</li><li>Enable business reporting solutions with SQL Server Reporting Services (SSRS) and integra on with Power BI as needed. 5. Machine Learning and AI Enablement
</li><li>Support data provisioning for machine learning projects through structured SQL based pipelines.
</li><li>Collaborate with Data Science teams to design and optimization datasets for AI workloads hosted internally or through SQL Server Machine Learning Services. 6. Cross-Functional Collaboration
</li><li>Work closely with IT infrastructure, software development, and business intelligence teams to align data solutions with business goals.
</li><li>Translate business needs into detailed, technically sound data architectures and specifications.
</li><li>Provide technical leadership on database and data management best practices.</li></ul><p><br>
</p><br>
<br>
<b>Requirements</b><p><br>
Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.</p><p></p><ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science engineering or information and computer science Faculties.
</li></ul><p>&middot; Minimum 5 years of experience in enterprise data architecture and database administration within a Microsoft environment. &middot; Expert se in SQL Server (2016/2019/2022 preferred) administration on, optimization on, and security.
</p><ul><li>Strong proficiency in T-SQL development and stored procedure optimization.
</li><li>Hands-on experience with SSIS (ETL), SSAS (data modeling), and SSRS (reporting).
</li><li>Solid understanding of data governance, compliance, and information on security standards.
</li><li>Familiarity with Microsoft Master Data Services (MDS) and Data Quality Services (DQS) is a plus.
</li><li>Excellent communication, documenta on, and problem-solving skills. Preferred Skills
</li><li>Certification on: Microsoft Certified: Azure Database Administrator Associate, Microsoft Certified: Data Management and Analy cs.
</li><li>Experience with hybrid on-premises and Azure SQL environments (optional, if applicable).
</li><li>Exposure to AI/ML workflows using Microsoft tools (e.g., SQL Server ML Services, Azure Machine Learning).</li><li>The candidate must have CDMP</li><li>Its better if candidate has TOGAF certificate (not mandatory).</li></ul></div>

Data Architect

EjadTech - إيجاد التقنية

<div>
 <p>
  EjadTech is seeking a professional Data Scientist to act as a technical and strategic partner. The role involves extracting value from big data and transforming it into actionable insights that support decision-making and solve complex business challenges for our clients.
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Translate complex business challenges into actionable data science projects and technical models.
  </li>
  <li>
   Manage the end-to-end data lifecycle, including extraction, cleaning, and transformation.
  </li>
  <li>
   Develop, train, and validate advanced Machine Learning models and predictive algorithms.
  </li>
  <li>
   Perform Exploratory Data Analysis (EDA) and create visualizations to communicate patterns clearly.
  </li>
  <li>
   Build and deploy scalable analytical solutions on cloud platforms (AWS, Azure, or GCP).
  </li>
  <li>
   Present technical findings and strategic recommendations to senior leadership and clients.
  </li>
  <li>
   Collaborate with Data Engineers to ensure robust data pipelines and system integration.
  </li>
 </ul>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   3 to 6 years of professional experience as a Data Scientist.
  </li>
  <li>
   Strong proficiency in Python or R and advanced SQL querying.
  </li>
  <li>
   Proven track record in applying Machine Learning frameworks.
  </li>
  <li>
   Experience in a consulting or client-facing technology environment.
  </li>
 </ul>
 <p>
  <strong>
   Qualifications and Skills:
  </strong>
 </p>
 <ul>
  <li>
   Degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  </li>
  <li>
   Exceptional Data Storytelling skills and the ability to simplify technical concepts for non-experts.
  </li>
  <li>
   Familiarity with Agile methodologies and modern data engineering practices.
  </li>
  <li>
   Critical thinking and problem-solving skills with the ability to work under pressure.
  </li>
  <li>
   Full professional proficiency in both Arabic and English.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Data Scientist

atmaal

<div>
 <p>
  Job Title: Data Scientist
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a skilled Data Scientist to join our team in Riyadh. The selected candidate will be responsible for transforming business objectives into data-driven solutions by leveraging advanced analytics, machine learning, and artificial intelligence. This role requires strong analytical thinking, technical expertise, and the ability to translate complex data into actionable insights that support business decisions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities:
 </p>
 <p>
  &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and practical use cases.
 </p>
 <p>
  &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to identify patterns and anticipate future trends.
 </p>
 <p>
  &bull; Utilize prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 </p>
 <p>
  &bull; Apply Natural Language Processing (NLP) techniques for use cases such as sentiment analysis, text classification, and entity extraction from unstructured data.
 </p>
 <p>
  &bull; Conduct exploratory data analysis (EDA) to understand data behavior, detect anomalies, and uncover hidden patterns.
 </p>
 <p>
  &bull; Utilize Generative AI capabilities for tasks such as content summarization, automated insight extraction, and code generation.
 </p>
 <p>
  &bull; Develop and deploy analytical solutions using platforms such as Vertex AI for model development and Power BI for data visualization, ensuring alignment with business workflows.
 </p>
 <p>
  &bull; Communicate complex analytical findings through clear visualizations and data storytelling techniques for both technical and non-technical stakeholders.
 </p>
 <p>
  &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 </p>
 <p>
  &bull; Document methodologies, model assumptions, and workflows to ensure transparency and reproducibility across the data science lifecycle.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Education:
 </p>
 <p>
  &bull; Bachelor&rsquo;s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Experience:
 </p>
 <p>
  &bull; 3&ndash;5 years of experience in Data Science, Advanced Analytics, or a related field.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Technical Expertise:
 </p>
 <p>
  &bull; Power BI
 </p>
 <p>
  &bull; BigQuery
 </p>
 <p>
  &bull; Vertex AI
 </p>
 <p>
  &bull; Google Cloud Platform (GCP)
 </p>
 <p>
  &bull; Google Cloud Storage
 </p>
 <p>
  &bull; Python
 </p>
</div>


Explore 556+ Data engineer in Riyadh this April. Find roles across top companies and apply now to boost your career.

556 data engineer jobs In Riyadh

Data Engineer

Data Analytics Engineer

Assistant Manager – Data Engineering

Principal Specialist, Engineering and ETL (OT)

Data Architect

Data Scientist

Data Scientist