sales engineer

data analyst

project engineer

data scientist

qa engineer

data engineer

MASTER-WORKS

<div><p>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.</p><p><b>
Responsibilities:</b></p><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><br>
<b>
Requirements</b><br>
<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

Devoteam

<div>
 <strong>
  Tech for People Unlocks the Future
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Devoteam Culture &amp; Values:
  <br/>
  <br/>
 </strong>
 True innovation is born from a powerful culture, fused with meaningful values.
 <br/>
 <br/>
 <strong>
  Culture:
  <br/>
  <br/>
 </strong>
 <strong>
  Fair and courageous
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Ambition and results
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Learning and innovating
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Caring and sharing
  <br/>
  <br/>
 </strong>
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 <br/>
 <br/>
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 <br/>
 <br/>
 <strong>
  Values:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Respect
  </li>
  <li>
   Frankness
  </li>
  <li>
   Passion
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
 <br/>
 <br/>
 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
 <br/>
 <br/>
 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <strong>
  Business Unit: Data &amp; Intelligence
  <br/>
  <br/>
 </strong>
 <strong>
  Level: Mid - Senior Level
 </strong>
</div>


<div><b>Company Description</b><p><b><br>
Tech for People Unlocks the Future</b></p><p>
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.<br>
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.</p><p><b>
Devoteam Culture &amp; Values:</b><br>
True innovation is born from a powerful culture, fused with meaningful values.</p><p><b>
Culture:</b></p><p><b>
Fair and courageous</b><br>
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.<br>
<br>
<b>Ambition and results</b><br>
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.<br>
<br>
<b>Learning and innovating</b><br>
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.<br>
<br>
<b>Caring and sharing</b><br>
A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.<br>
At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,</p><p><b>
Values:</b></p><p>
1. Respect<br>
2. Frankness<br>
3. Passion</p><b><br>
Job Description</b><p><br>
A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.<br>
They identify and resolve data anomalies through profiling, cleansing, and validation workflows.<br>
The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.</p><p><b>
Key Responsibilities:</b></p><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><b><br>
Qualifications</b><br>
<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><br>
<b>
Additional Information</b><p><b><br>
Business Unit: Data &amp; Intelligence</b></p><p><b>
Level: Mid - Senior Level</b></p></div>

Hudhud Maps

<div><p><b>Position: Junior Data Engineer</b></p>
<p><b>Location:</b> Riyadh, Saudi Arabia (Hybrid)<br>
<b>Experience:</b> 1&ndash;2 years</p>
<h3 class="jobSectionHeader"><b>About Hudhud Maps</b></h3>
<p>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.</p>
<h3 class="jobSectionHeader"><b>Role Overview</b></h3>
<p>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.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Develop, monitor, and optimize ETL workflows using <b>Apache Airflow</b>.</li>
<li>Build and maintain data pipelines leveraging <b>Python</b> and <b>Apache Spark</b>.</li>
<li>Manage and query structured data in <b>PostgreSQL databases</b>.</li>
<li>Support the integration and organization of large datasets in <b>Data Lakes</b>.</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"><b>Requirements</b></h3>
<ul><li>Bachelor's degree in computer science, Engineering, or related field.</li>
<li><b>1&ndash;2 years of experience</b> in data engineering or related roles.</li>
<li>Proficiency in <b>Python</b> for data workflows.</li>
<li>Hands-on experience with <b>Airflow</b>, <b>Spark</b>, and <b>Postgres DB</b>.</li>
<li>Familiarity with <b>Data Lake architectures</b> and <b>cloud platforms</b>.</li>
<li>Strong problem-solving skills and eagerness to learn.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualities</b></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"><b>Why Join Us</b></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

مجموعة الموسى الصحية

<div></div><div><div><b>Key Responsibilities
</b></div><ul><li>Design, build, and maintain <b>data pipelines </b>that extract, transform, and load data from source systems into reporting and analytics environments.
</li><li>Develop and maintain the <b>data warehouse / data mart structure </b>to support operational, clinical, financial, and population health reporting.
</li><li>Integrate data from multiple systems such as:
<ul><li>HIS / EMR
</li><li>ERP / Finance
</li><li>HR systems
</li><li>Laboratory / Radiology / Pharmacy systems
</li><li>Manual and external data sources
</li></ul></li><li>Clean, standardize, and validate data to improve <b>data quality, consistency, and usability </b>.
</li><li>Build and maintain reusable datasets for <b>Power BI dashboards </b>, KPI tracking, and automated reporting.
</li><li>Work with analysts and business stakeholders to translate reporting needs into structured data models.
</li><li>Support the development of:
<ul><li>patient registries
</li><li>physician registries
</li><li>disease registries
</li><li>performance and KPI datasets
</li></ul></li><li>Monitor pipeline performance, troubleshoot failures, and ensure timely data refresh.
</li><li>Document data sources, logic, definitions, and transformations clearly.
</li><li>Participate in <b>data governance </b>efforts, including master data standardization, metric definitions, and access controls.
</li><li>Ensure compliance with organizational policies related to <b>data privacy, security, and confidentiality </b>.
</li></ul><div><b>Required Qualifications
</b></div><ul><li>Bachelor&rsquo;s degree in:
<ul><li>Computer Science
</li><li>Data Engineering
</li><li>Information Systems
</li><li>Software Engineering
</li><li>or related field
</li></ul></li><li>Proven experience in <b>data engineering, ETL development, or database development
</b></li><li>Strong SQL skills
</li><li>Experience with data integration and transformation tools
</li><li>Experience working with relational databases and large datasets
</li><li>Experience supporting BI/reporting environments
</li></ul><div><b>Preferred Qualifications
</b></div><ul><li>Experience in healthcare, hospital, or EMR/HIS data environments
</li><li>Experience with:
<ul><li>Microsoft SQL Server
</li><li>Azure Data Factory
</li><li>SSIS
</li><li>Python
</li><li>Power BI backend support
</li></ul></li><li>Familiarity with healthcare data domains such as visits, billing, orders, labs, diagnoses, procedures, and registries
</li><li>Understanding of data warehouse concepts such as:
<ul><li>star schema
</li><li>fact and dimension tables
</li><li>data modeling
</li><li>data lineage
</li></ul></li></ul><div><b>Key Skills
</b></div><ul><li>Strong SQL and database skills
</li><li>ETL / ELT pipeline development
</li><li>Data modeling
</li><li>Problem-solving and troubleshooting
</li><li>Attention to detail
</li><li>Documentation and organization
</li><li>Ability to work with both technical and non-technical stakeholders
</li><li>Understanding of data quality and governance principles
</li></ul><div><b>Core Deliverables
</b></div><ul><li>Reliable automated data pipelines
</li><li>Clean and validated reporting datasets
</li><li>Structured data models for dashboards and KPIs
</li><li>Better accessibility of data across departments
</li><li>Reduced manual reporting effort
</li><li>Improved readiness for enterprise analytics and value-based care initiatives</li></ul></div>

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Job Description: Senior Data Engineer (SSIS / Classic Stack)</b></h2><h3 class="jobSectionHeader"><b>
Location:</b><b> Riyadh, KSA</b></h3><h3 class="jobSectionHeader"><b>
Department:</b><b> Data &amp; Analytics</b></h3><h3 class="jobSectionHeader"><b>
Experience:</b><b> 6+ Years</b><br>
<br>
<b>Note : This position is for the candidates who are based in Saudi Arabia Only.</b></h3><h3 class="jobSectionHeader"><br>
<b>
Job Summary</b></h3><p>
We are seeking a highly skilled <b>Senior Data Engineer</b> with strong expertise in the classic data stack, particularly <b>SQL Server and SSIS</b>. The role involves designing, building, and maintaining scalable data pipelines, robust data models, and data marts.</p><p>
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.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><h4 class="jobSectionHeader"><b>
1. Data Modeling</b></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"><b>
2. Semantic Layer Development</b></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"><b>
3. Data Pipeline Development (ETL)</b></h4><ul><li>
Develop and manage ETL pipelines using <b>SSIS and SQL Server</b></li><li>
Automate data extraction, transformation, and loading processes</li><li>
Ensure reliability and availability of data across systems</li></ul><h4 class="jobSectionHeader"><b>
4. Data Quality &amp; Governance</b></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"><b>
5. Stakeholder Collaboration</b></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"><b>
6. Documentation &amp; Standards</b></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"><b>
7. Mentorship</b></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"><br>
<b>
Technical Skills &amp; Requirements</b></h3><ul><li>
Strong experience with <b>Microsoft SQL Server</b></li><li>
Expertise in <b>SSIS (SQL Server Integration Services)</b></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"><br>
<b>
Qualifications</b></h3><ul><li>
Bachelor&rsquo;s degree in Computer Science, IT, or a related field</li></ul><h3 class="jobSectionHeader"><br>
<b>
Experience</b></h3><ul><li>
Minimum 6<b>+ years</b> of experience in:<ul><li>
Data engineering</li><li>
Data warehousing</li><li>
ETL development using SSIS</li></ul></li></ul><h3 class="jobSectionHeader"><br>
<b>
Preferred Skills (Nice to Have)</b></h3><ul><li>
Experience with <b>Data Vault modeling</b></li><li>
Exposure to modern data platforms or cloud environments</li><li>
Understanding of data governance and data quality frameworks</li></ul><p>
</p><p>c7ZS8glfnT</p></div>

Senior Data Engineer (SSIS)

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

Explore 2052+ Data engineer in Saudi Arabia this May. Find roles across top companies and apply now to boost your career.

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Data Analytics Engineer