sales engineer

data analyst

project engineer

data scientist

ai engineer

data pipeline engineer

MASTER-WORKS

<div>Master-Works is seeking a highly skilled Data Engineer to join our team. The ideal candidate will develop, construct, test, and maintain data architectures such as databases and large-scale processing systems. You will be responsible for building data pipelines, ensuring data integrity, and enabling data accessibility to support our business analytics and decision-making processes.
Responsibilities:<ul><li>
Design, build, and maintain efficient and scalable data pipelines and architectures.</li><li>
Develop ETL processes to collect, clean, and process data from various sources.</li><li>
Collaborate with data scientists, analysts, and stakeholders to meet data requirements.</li><li>
Optimize data pipeline performance and troubleshoot data issues as they arise.</li><li>
Ensure data security and compliance with organizational policies.</li><li>
Document data engineering processes and workflows.</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Computer Science, Engineering, or related field.</li><li>
Minimum 3 years of experience in data engineering or related roles.</li><li>
Proficiency in programming languages such as Python, Java, or Scala.</li><li>
Experience with SQL and NoSQL databases.</li><li>
Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, etc.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to work collaboratively in a team-oriented environment.</li></ul></div>

Data Engineer

Envision Employment Solutions

<div>Envision Employment Solutions is currently looking for a Data Engineer (Saudi National) for one of our partners, a global leader in the IT Services and IT Consulting.
Job Summary:
This is a full-time, on-site role for a Data Engineer located in Riyadh. The Data Engineer will be responsible for designing, building, and managing scalable data pipelines, performing data integration, and developing data models for optimization. The role involves building ETL processes, maintaining data warehouses, and collaborating with cross-functional teams to deliver data-driven solutions that support business operations and analytics. 
Requirements 
<ul><li>
Bachelor's degree in Computer Science, Data Science, or related fields</li><li>
Proficiency in Data Engineering and Data Modeling</li><li>
Experience with Extract, Transform, Load (ETL) processes and Data Warehousing</li><li>
Strong skills in Data Analytics and working with large-scale datasets</li><li>
Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, or Java)</li><li>
Knowledge of cloud platforms and big data tools (e.g., AWS, Azure, Hadoop) is a plus</li><li>
Strong problem-solving abilities and attention to detail</li></ul></div>

Data Engineer (Saudi National)

YO IT Consulting

<div>
 
 Job Title:
 
 Data Engineer
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are seeking an expert Data Engineer to join our customer&rsquo;s team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and manage data pipelines to support complex AI agent training initiatives.
 </li>
 <li>
 Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
 </li>
 <li>
 Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
 </li>
 <li>
 Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
 </li>
 <li>
 Contribute to the optimization of AI models through effective data engineering practices.
 </li>
 <li>
 Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
 </li>
 <li>
 Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
 </li>
 <li>
 Strong understanding of AI concepts and experience in training AI agents.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
 </li>
 <li>
 Experience implementing robust data pipelines and scalable architecture for machine learning projects.
 </li>
 <li>
 Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a related field.
 </li>
 <li>
 Direct experience with AI agent frameworks and real-world deployment projects.
 </li>
 <li>
 Previous work in fast-paced startup or innovation-driven environments.
 </li>
 </ul>
</div>

Data Engineer - Remote

Hudhud Maps

<div>Position: Junior Data Engineer
Location: Riyadh, Saudi Arabia (Hybrid) 
Experience: 1&ndash;2 years
<h3 class="jobSectionHeader">About Hudhud Maps</h3>
We are building the next-generation local maps for Saudi and the Middle East, leveraging data &amp; AI and we currently have different projects to build the most valuable point of interest and street network database in the region, leveraging hundreds of terabytes of captured street view data and satellite images for hundreds of thousands of KMs of roads and other datasets captured from third-party and governmental partners.
<h3 class="jobSectionHeader">Role Overview</h3>
As a Junior Data Engineer, you will support the design, development, and maintenance of scalable data pipelines and systems. You'll work closely with senior engineers and data scientists to ensure reliable data flow across our platforms, contributing to Hudhud Maps' mission of delivering high-quality geospatial insights.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Develop, monitor, and optimize ETL workflows using Apache Airflow.</li>
<li>Build and maintain data pipelines leveraging Python and Apache Spark.</li>
<li>Manage and query structured data in PostgreSQL databases.</li>
<li>Support the integration and organization of large datasets in Data Lakes.</li>
<li>Collaborate on cloud-based data solutions (AWS, GCP, or Azure).</li>
<li>Ensure data quality, reliability, and security across systems.</li>
<li>Document processes and contribute to continuous improvement initiatives.</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul><li>Bachelor's degree in computer science, Engineering, or related field.</li>
<li>1&ndash;2 years of experience in data engineering or related roles.</li>
<li>Proficiency in Python for data workflows.</li>
<li>Hands-on experience with Airflow, Spark, and Postgres DB.</li>
<li>Familiarity with Data Lake architectures and cloud platforms.</li>
<li>Strong problem-solving skills and eagerness to learn.</li>
</ul><h3 class="jobSectionHeader">Preferred Qualities</h3>
<ul><li>Exposure to geospatial or mapping data projects.</li>
<li>Interest in scalable data systems and emerging technologies.</li>
<li>Collaborative mindset with good communication skills.</li>
</ul><h3 class="jobSectionHeader">Why Join Us</h3>
<ul><li>Opportunity to work on impactful geospatial data projects.</li>
<li>Hybrid work flexibility in Riyadh.</li>
<li>Growth-oriented environment with mentorship from senior engineers.</li></ul></div>

Junior Data Engineer

Devoteam

<div>Company Description 
Tech for People Unlocks the Future
At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us. 
With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
Devoteam Culture &amp; Values: 
True innovation is born from a powerful culture, fused with meaningful values.
Culture:
Fair and courageous 
Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it. 
 
Ambition and results 
Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint. 
 
Learning and innovating 
Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence. 
 
Caring and sharing 
A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration. 
At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
Values:
1. Respect 
2. Frankness 
3. Passion 
Job Description 
A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data. 
They identify and resolve data anomalies through profiling, cleansing, and validation workflows. 
The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
Key Responsibilities:<ul><li>Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.</li><li>Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.</li><li>Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.</li><li>Develop automated data quality checks and workflows for continuous monitoring and remediation.</li><li>Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.</li><li>Document data quality rules, issue logs, and remediation actions as part of the data governance framework.</li><li>Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.</li><li>Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.</li><li>Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.</li><li>Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.</li><li>Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.</li><li>Conduct root cause analysis and lead remediation programs for chronic data issues.</li><li>Mentor junior engineers and promote data quality best practices across teams.</li><li>Participate in compliance with the local data management regulations (e.g. NDMO, NDI).</li><li>Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.</li><li>Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.</li><li>Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.</li></ul> 
Qualifications 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.</li><li>
5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.</li><li>
Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).</li><li>
Strong expertise in data profiling, rule design, standardization, and exception management.</li><li>
Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.</li><li>
Deep understanding of data governance frameworks and collaboration with data stewards.</li><li>
Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.</li><li>
Strong communication skills for presenting findings and recommendations to business stakeholders.</li><li>
Experience mentoring junior engineers or managing small DQ workstreams.</li><li>
CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate</li><li>
Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).</li><li>
Understanding of data lineage, root cause analysis, and impact assessment.</li><li>
Knowledge of metadata management and integration with data catalogs.</li><li>
Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).</li><li>
Ability to automate DQ workflows through orchestration or CI/CD pipelines.</li></ul> 

Additional Information 
Business Unit: Data &amp; Intelligence
Level: Mid - Senior Level</div>

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Description: Senior Data Engineer (SSIS / Classic Stack)</h2><h3 class="jobSectionHeader">
Location: Riyadh, KSA</h3><h3 class="jobSectionHeader">
Department: Data &amp; Analytics</h3><h3 class="jobSectionHeader">
Experience: 6+ Years 
 
Note : This position is for the candidates who are based in Saudi Arabia Only.</h3><h3 class="jobSectionHeader"> 

Job Summary</h3>
We are seeking a highly skilled Senior Data Engineer with strong expertise in the classic data stack, particularly SQL Server and SSIS. The role involves designing, building, and maintaining scalable data pipelines, robust data models, and data marts.
The ideal candidate will play a key role in developing a structured semantic layer, ensuring high-quality, consistent, and accessible data to support analytics and business intelligence initiatives.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><h4 class="jobSectionHeader">
1. Data Modeling</h4><ul><li>
Design and maintain scalable and high-performance data models</li><li>
Develop data marts aligned with business requirements</li><li>
Apply best practices in data warehousing (Data Vault knowledge is a plus)</li></ul><h4 class="jobSectionHeader">
2. Semantic Layer Development</h4><ul><li>
Build and maintain a semantic layer with clear definitions, hierarchies, and data structures</li><li>
Ensure consistency and usability of data across reporting and analytics platforms</li></ul><h4 class="jobSectionHeader">
3. Data Pipeline Development (ETL)</h4><ul><li>
Develop and manage ETL pipelines using SSIS and SQL Server</li><li>
Automate data extraction, transformation, and loading processes</li><li>
Ensure reliability and availability of data across systems</li></ul><h4 class="jobSectionHeader">
4. Data Quality &amp; Governance</h4><ul><li>
Ensure accuracy, completeness, and consistency of data from source systems</li><li>
Implement validation and monitoring mechanisms</li></ul><h4 class="jobSectionHeader">
5. Stakeholder Collaboration</h4><ul><li>
Work closely with business teams, analysts, and data scientists</li><li>
Translate business requirements into scalable data solutions</li></ul><h4 class="jobSectionHeader">
6. Documentation &amp; Standards</h4><ul><li>
Maintain comprehensive documentation for data models, ETL processes, and workflows</li><li>
Promote best practices in data engineering and governance</li></ul><h4 class="jobSectionHeader">
7. Mentorship</h4><ul><li>
Provide technical guidance and mentorship to junior team members</li><li>
Encourage adoption of best practices in ETL and data modeling</li></ul><h3 class="jobSectionHeader"> 

Technical Skills &amp; Requirements</h3><ul><li>
Strong experience with Microsoft SQL Server</li><li>
Expertise in SSIS (SQL Server Integration Services)</li><li>
Proficiency in:<ul><li>
Stored Procedures, Functions, Views, Triggers</li><li>
ETL design and development</li><li>
Data transformation and migration across systems</li></ul></li><li>
Experience in:<ul><li>
Performance tuning (query optimization, staging, parallel processing)</li><li>
Debugging and optimizing ETL workflows</li><li>
Database design, indexing, and security</li></ul></li></ul><h3 class="jobSectionHeader"> 

Qualifications</h3><ul><li>
Bachelor&rsquo;s degree in Computer Science, IT, or a related field</li></ul><h3 class="jobSectionHeader"> 

Experience</h3><ul><li>
Minimum 6+ years of experience in:<ul><li>
Data engineering</li><li>
Data warehousing</li><li>
ETL development using SSIS</li></ul></li></ul><h3 class="jobSectionHeader"> 

Preferred Skills (Nice to Have)</h3><ul><li>
Experience with Data Vault modeling</li><li>
Exposure to modern data platforms or cloud environments</li><li>
Understanding of data governance and data quality frameworks</li></ul>
c7ZS8glfnT</div>

Senior Data Engineer (SSIS)

Axelerated Solutions

<div>
 
 
 Role
 
 
 
 We are looking for a
 
 Senior QA Engineer
 
 to join our growing team working on enterprise-grade communication platforms, covering real-time conferencing and business messaging products.
 
 
 In this role, you will act as the
 
 quality champion
 
 for a portfolio of web, mobile, and API-driven features&mdash;designing test strategies, driving automation, and ensuring the delivery of reliable software to enterprise clients.
 
 
 You will own the full QA lifecycle, from requirement analysis and test design through execution, automation, and defect reporting, while working closely with developers, product managers, and DevOps teams in an Agile environment.
 
 
 
 What You&rsquo;ll Work On
 
 
 <ul>
 <li>
 Web and mobile application testing across conferencing and messaging products
 </li>
 <li>
 RESTful API testing and validation for platform services and integrations
 </li>
 <li>
 Test automation development and maintenance using industry-standard frameworks
 </li>
 <li>
 CI/CD pipeline integration to enable continuous testing and fast release cycles
 </li>
 <li>
 Quality governance including traceability matrices, test plans, and defect lifecycle management
 </li>
 <li>
 Cross-functional collaboration with engineering, product, and DevOps teams
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 
 
 Test Planning &amp; Execution
 
 
 <ul>
 <li>
 Analyze functional and non-functional requirements and translate them into detailed test plans, scenarios, and test cases
 </li>
 <li>
 Execute manual and automated testing (functional, integration, regression, and UAT) for web, mobile (iOS/Android), and APIs
 </li>
 <li>
 Perform exploratory testing on communication features such as messaging, conferencing, and notifications
 </li>
 <li>
 Maintain traceability matrices and ensure full coverage of user stories
 </li>
 </ul>
 
 
 Test Automation
 
 
 <ul>
 <li>
 Develop, maintain, and enhance automated test scripts using
 
 Selenium (Python or Java)
 
 </li>
 <li>
 Integrate automation suites into
 
 CI/CD pipelines (Jenkins or equivalent)
 
 </li>
 <li>
 Monitor automated test runs, analyze failures, and maintain pipeline stability
 </li>
 <li>
 Promote automation best practices and increase overall automation coverage
 </li>
 </ul>
 
 
 API &amp; Integration Testing
 
 
 <ul>
 <li>
 Design and execute comprehensive API test suites using tools such as
 
 Postman
 
 </li>
 <li>
 Validate data contracts, error handling, and service integrations
 </li>
 <li>
 Test real-time communication protocols and messaging delivery pipelines
 </li>
 </ul>
 
 
 Team Leadership &amp; Quality Governance
 
 
 <ul>
 <li>
 Mentor junior QA engineers on automation, test design, and defect reporting
 </li>
 <li>
 Conduct code reviews for test scripts and promote quality standards
 </li>
 <li>
 Establish and enforce QA governance processes and contribute to continuous improvement
 </li>
 <li>
 Produce clear test reports and quality metrics for stakeholders
 </li>
 </ul>
 
 
</div>

Senior QA Engineer

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Senior QA Engineer