sales engineer

planning engineer

data analyst

senior data engineer

bi - data quality analyst

data engineer

Datamatics Global Services Ltd

<div><h3 class="jobSectionHeader"><b>Job Title: Data Engineer</b></h3><p><b>
Experience:</b> 4&ndash;6 Years<br>
<b>Domain:</b> Banking / Financial Services<br>
<b>Immediate Joiners will be preferred</b></p><h4 class="jobSectionHeader"><b>
Job Summary</b></h4><p>
We are seeking a skilled Data Engineer with strong experience in the banking domain to design, build, and optimize high-quality data pipelines and curated datasets that support enterprise reporting and analytics. The role requires deep SQL expertise, strong data quality mindset, and close collaboration with business and BI teams.</p><h4 class="jobSectionHeader"><b>
Key Responsibilities</b></h4><ul><li><p>
Develop and optimize complex SQL queries using CTEs, window functions, and advanced joins</p></li><li><p>
Design and build curated KPI datasets optimized for BI and analytics consumption</p></li><li><p>
Partner with business and analytics teams to implement KPI logic and reporting requirements</p></li><li><p>
Ensure data accuracy through reconciliation, validation, and quality checks across datasets</p></li><li><p>
Integrate data from multiple banking source systems into unified analytical models</p></li><li><p>
Monitor and tune query performance to ensure scalability and efficiency</p></li><li><p>
Support ongoing enhancements and maintenance of data pipelines and reporting datasets</p></li></ul><h4 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h4><ul><li><p>
3&ndash;5 years of hands-on experience as a Data Engineer in the <b>banking or financial services domain</b></p></li><li><p>
Strong expertise in SQL (CTEs, window functions, aggregations, complex joins)</p></li><li><p>
Solid understanding of data quality, reconciliation, and performance optimization</p></li><li><p>
Exposure to integrating data from multiple heterogeneous source systems</p></li><li><p>
Strong analytical skills and ability to work with business stakeholders</p></li></ul><h4 class="jobSectionHeader"><b>
Nice to Have</b></h4><ul><li><p>
Experience with data warehousing and dimensional modeling</p></li><li><p>
Familiarity with ETL/ELT frameworks and scheduling tools</p></li><li><p>
Knowledge of regulatory or financial reporting use cases</p></li></ul><p>
</p><p>xx4FxMga5d</p></div>

Data Engineer

DXC Technology

<div><p><b>Job Description:
</b></p><p>Role:
</p><ul><li>Help build and maintain data pipelines and integration processes
</li></ul><ul><li>Support data quality checks and help investigate and fix any data issues
</li></ul><ul><li>Work with data catalogs and metadata tools to make data easier to find and understand
</li></ul><ul><li>Collaborate with business teams to understand their data needs and help deliver solutions
</li></ul><p></p><p>Responsibilities:
</p><ul><li>Learn and apply data governance practices, including privacy and compliance requirements
</li></ul><ul><li>Assist with documenting data flows and keeping records up to date
</li></ul><ul><li>Explore new tools, technologies, and best practices in the data world
</li></ul><p></p><p>Requirements:
</p><ul><li>A recent graduate in Computer Engineering, Computer Science, Information Systems, or something similar
</li></ul><ul><li>Basic understanding of how databases work &ndash; you&rsquo;ve used SQL and maybe even played with a relational database
</li></ul><ul><li>Some exposure to data concepts like ETL, data warehouses, or data modeling
</li></ul><ul><li>Strong problem-solving skills and a willingness to dive into technical challenges
</li></ul><ul><li>Good communication skills &ndash; you&rsquo;ll be working with both technical and non-technical people
</li></ul><ul><li>Eagerness to learn and grow &mdash; we don&rsquo;t expect you to know everything, but we do expect curiosity and initiative
</li></ul><ul><li>Exposure to cloud platforms (like AWS, Azure, or Google Cloud)
</li></ul><ul><li>Familiarity with data tools such as Power BI, Tableau, Informatica, or Talend
</li></ul><ul><li>A basic understanding of data governance or data privacy concepts
</li></ul><p></p><p>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
</p><p></p><p><b>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.</b></p></div><p></p>

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>
   The Senior Data Engineer is responsible for designing, building, and maintaining scalable, secure, and high-performance data pipelines and infrastructure that power the organization&rsquo;s analytics, artificial intelligence, and mission-critical decision-making systems.
  </li>
  <li>
   The role ensures that data is ingested, transformed, stored, and made available in a reliable, timely, and Personal Data Protection Law (PDPL)-compliant manner, enabling AI-ready datasets aligned with Saudi Vision 2030 and the National Data Strategy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Architect and build end-to-end data pipelines:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain scalable ETL/ELT workflows using tools such as Apache Spark, dbt, Airflow, Kafka, Informatica IDC, to ingest and process structured, semi-structured, and unstructured data from internal and external sources.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ensure PDPL and data privacy compliance:
  </strong>
 </p>
 <ul>
  <li>
   Implement data masking, tokenization, anonymization, and consent-aware processing; conduct Data Protection Impact Assessments (DPIAs) for new pipelines; enforce row-level security and audit logging in compliance with the Personal Data Protection Law (PDPL) and SDAIA guidelines.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Build and manage cloud-native data platforms:
  </strong>
 </p>
 <ul>
  <li>
   Lead the implementation and optimization of enterprise data lakes/lakehouses (e.g., Delta Lake, Azure Synapse, AWS Lake Formation) and data warehouses (Snowflake) on AWS, Azure, or Google Cloud, ensuring high availability, disaster recovery, and cost governance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Automate infrastructure and deployments Develop Infrastructure-as-Code:
  </strong>
 </p>
 <ul>
  <li>
   (Terraform, CloudFormation) and CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins) to enable one-click deployments, automated testing of data quality, and zero-downtime schema migrations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Guarantee data quality and observability:
  </strong>
 </p>
 <ul>
  <li>
   Define and enforce data quality rules, monitoring, and alerting using Great Expectations, Monte Carlo, Soda, or custom frameworks; implement end-to-end lineage tracking and real-time anomaly detection.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Optimize performance and cost Continuously:
  </strong>
 </p>
 <ul>
  <li>
   Tune data extraction jobs, partition strategies, and storage formats; reduce cloud spend by 20&ndash;30% annually through rightsizing, spot instances, and auto-scaling policies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Collaborate with data consumers and stakeholders:
  </strong>
 </p>
 <ul>
  <li>
   Partner with data scientists, analysts, and business units to translate requirements into reliable data products; publish datasets to the enterprise data catalog and maintain clear documentation and SLAs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Lead technical governance and best practices:
  </strong>
 </p>
 <ul>
  <li>
   Chair the Data Engineering Chapter; establish and enforce coding standards, peer review processes, and architectural decisions; mentor mid-level and junior engineers.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Support AI-readiness and national initiatives:
  </strong>
 </p>
 <ul>
  <li>
   Deliver &ldquo;AI-ready&rdquo; datasets that meet SDAIA and Vision 2030 quality benchmarks (golden datasets, metadata completeness &ge;95%, freshness SLAs); enable federated analytics across government entities where required.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Assist Incident response:
  </strong>
 </p>
 <ul>
  <li>
   Assist in root-cause analysis and remediation of pipeline failures
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Contribute to strategic roadmaps:
  </strong>
 </p>
 <ul>
  <li>
   Provide input into the 3&ndash;5 year data platform strategy, technology evaluations, and annual budgeting for tools and cloud resources
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Problem Solving and Innovation
  </strong>
  :
 </p>
 <ul>
  <li>
   Collaborate with cross-functional teams to identify and address business challenges using data-driven approaches.
  </li>
  <li>
   Develop innovative solutions and recommendations based on data-driven insights.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Stakeholder Engagement
  </strong>
  :
 </p>
 <ul>
  <li>
   Effectively communicate findings and recommendations to stakeholders at all levels, tailoring the message to the audience's needs.
  </li>
  <li>
   Build strong relationships with internal and external stakeholders to foster collaboration and support.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Requirements:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience:
  </strong>
 </p>
 <ul>
  <li>
   6+ years of prior relevant experience in data analysis or a similar IT field, with significant experience in leadership and strategic roles.
  </li>
  <li>
   Proven ability to manage large teams and drive organizational change.
  </li>
  <li>
   A bachelor's or master's degree in a quantitative field such as data science, computer science, statistics, mathematics, or engineering is preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Technical Skills:
  </em>
 </p>
 <ul>
  <li>
   Python (expert level) &ndash; including type hints, packaging, unit/integration testing (pytest), and building reusable libraries
  </li>
  <li>
   SQL (expert level) &ndash; complex analytical queries, CTEs, window functions, performance tuning, and query optimization
  </li>
  <li>
   Informatica &ndash; building and optimizing large-scale batch and streaming jobs on managed platforms (Snowflake)
  </li>
  <li>
   Kafka (Confluent) &ndash; designing and operating real-time event-driven pipelines
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   At least one major cloud platform at expert level:
  </em>
 </p>
 <ul>
  <li>
   AWS (S3, Glue, EMR, Lambda, Athena, Lake Formation) or
  </li>
  <li>
   Azure (ADLS Gen2, Azure Data Factory, Synapse Analytics, Databricks) or
  </li>
  <li>
   Google Cloud (BigQuery, Dataflow, Cloud Storage, Pub/Sub)
  </li>
  <li>
   Data orchestration with Apache Airflow (writing production-grade DAGs, custom operators, task dependencies) or Azure Data Factory
  </li>
  <li>
   DBT (data build tool) &ndash; modeling, testing, documentation, incremental models, Jinja templating
  </li>
  <li>
   Infrastructure as Code &ndash; Terraform or CloudFormation for provisioning data infrastructure
  </li>
  <li>
   CI/CD for data pipelines &ndash; GitHub Actions, GitLab CI
  </li>
  <li>
   Version control with Git (branching strategies, code reviews, GitFlow)
  </li>
  <li>
   Linux/Unix fundamentals and shell scripting for automation and troubleshooting
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Soft Skills:
  </em>
 </p>
 <ul>
  <li>
   Problem-solving and analytical thinking.
  </li>
  <li>
   Strong communication and interpersonal skills.
  </li>
  <li>
   Ability to work independently and as part of a team.
  </li>
  <li>
   Curiosity and a passion for learning new technologies.
  </li>
  <li>
   Business acumen and understanding of data-driven decision-making.
  </li>
  <li>
   Strategic thinking with a deep understanding of industry trends and best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Context:
  </strong>
 </p>
 <ul>
  <li>
   The Senior Data Engineer will be based in Riyadh, Saudi Arabia with a requirement to work from any of the office location occupied by RSG and its subsidiaries.
  </li>
  <li>
   In addition the Data Scientist will be expected to also work, from time to time and possibly for extended periods from any project site.
  </li>
  <li>
   The Senior Data Engineer is part of a team of varying grades and different roles which delivers services to other areas of RSG, its subsidiaries and Customers as required.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Financial Dimensions:
  </strong>
 </p>
 <ul>
  <li>
   Refers to the financial responsibilities and impacts associated with a role. This can include budget management, cost control, revenue generation, financial reporting, and resource allocation.
  </li>
  <li>
   These dimensions highlight the role's influence on the organization's financial health, ensuring that the employee contributes to fiscal responsibility and the achievement of financial targets.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   For more information about Red Sea Global, visit:
  </strong>
 </p>
 <p>
  🌐
  <strong>
   Website
  </strong>
  :
  <strong>
   https://www.redseaglobal.com/en
  </strong>
 </p>
 <p>
  🔗
  <strong>
   LinkedIn
  </strong>
  :
  <strong>
   https://www.linkedin.com/company/red-sea-global/
  </strong>
 </p>
 <p>
  ▶️
  <strong>
   YouTube
  </strong>
  :
  <strong>
   https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
  </strong>
 </p>
 <p>
  🐦
  <strong>
   Twitter: @TheRedSeaGlobal
  </strong>
 </p>
 <p>
 </p>
</div>


Senior Data Engineer

<div><h2 class="jobSectionHeader"><b>Please read the JD Carefully</b><br>
<br>
<b>Job Title: Senior Data Engineer / SSIS Engineer</b></h2><p><b>
Department/Section:</b> Data and Analytics Office / Data Engineering</p><h2 class="jobSectionHeader"><b>
Language : Arabic &amp; Non Arabic</b><br>
<br>
<b>Location: Riyadh</b><br>
<br>
<b>Industry - Govt.Sector Org.</b><br>
<br>
<b>Experience: 7+ Years</b><br>
<br>
<b>Job Purpose</b></h2><p>
The <b>Senior Data Engineer / SSIS Engineer</b> is responsible for designing, building, and maintaining scalable data pipelines, ETL processes, and data marts that enable reliable analytics and data-driven decision-making. A key focus of this role is the development and maintenance of a robust <b>semantic layer</b>, ensuring structured, consistent, and business-friendly data access across the organization.</p><p>
The role involves close collaboration with analytics, data science, and business teams to deliver high-quality data models, feature stores, and industrialized data products while upholding best practices in data engineering, data quality, and documentation.</p><h2 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
1. Data Modeling</b></h3><ul><li><p>
Design, develop, and maintain robust <b>logical and physical data models</b> that support analytical and reporting requirements.</p></li><li><p>
Ensure models are scalable, performant, and aligned with business needs.</p></li><li><p>
Apply industry-standard modeling techniques; <b>experience with Data Vault methodology is a plus</b>.</p></li></ul><h3 class="jobSectionHeader"><b>
2. Semantic Layer Development</b></h3><ul><li><p>
Design, implement, and maintain a centralized <b>semantic layer</b> to enable consistent and reusable business metrics.</p></li><li><p>
Define and manage <b>ontologies, taxonomies, hierarchies, and business definitions</b> to ensure a common understanding of data across teams.</p></li><li><p>
Enable self-service analytics by simplifying complex data structures for business users.</p></li></ul><h3 class="jobSectionHeader"><b>
3. Data Pipeline Development (ETL/ELT)</b></h3><ul><li><p>
Develop, optimize, and maintain <b>ETL pipelines</b>, with a strong focus on <b>SSIS</b>, to automate data ingestion, transformation, and loading.</p></li><li><p>
Ensure high reliability, performance, and availability of data pipelines across multiple source systems and data platforms.</p></li><li><p>
Support batch and near&ndash;real-time processing where required.</p></li></ul><h3 class="jobSectionHeader"><b>
4. Data Quality &amp; Consistency</b></h3><ul><li><p>
Implement data quality checks and controls throughout the data lifecycle, starting from source systems.</p></li><li><p>
Monitor data accuracy, completeness, and consistency, and proactively resolve data quality issues.</p></li><li><p>
Collaborate with stakeholders to define and enforce data quality standards.</p></li></ul><h3 class="jobSectionHeader"><b>
5. Collaboration with Stakeholders</b></h3><ul><li><p>
Work closely with <b>data scientists, analysts, BI developers, and business stakeholders</b> to gather requirements and translate them into scalable data solutions.</p></li><li><p>
Support analytical use cases, feature engineering, and reporting needs through well-designed data assets.</p></li></ul><h3 class="jobSectionHeader"><b>
6. Documentation &amp; Best Practices</b></h3><ul><li><p>
Document data models, ETL workflows, semantic layer configurations, and data definitions.</p></li><li><p>
Promote best practices in data engineering, naming conventions, version control, and deployment processes.</p></li><li><p>
Ensure transparency, traceability, and knowledge sharing across teams.</p></li></ul><h3 class="jobSectionHeader"><b>
7. Technical Mentorship</b></h3><ul><li><p>
Mentor and guide junior data engineers.</p></li><li><p>
Provide technical leadership in data modeling, SSIS development, and semantic layer design.</p></li><li><p>
Contribute to continuous improvement of data engineering standards and frameworks.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Required Qualifications &amp; Skills</b></h2><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.</p></li><li><p>
Strong hands-on experience as a <b>Senior Data Engineer or SSIS Engineer</b>.</p></li><li><p>
Advanced expertise in <b>SSIS</b>, SQL, and relational data warehouses.</p></li><li><p>
Strong knowledge of <b>data modeling techniques</b> (star schema, snowflake, dimensional modeling).</p></li><li><p>
Experience designing and maintaining <b>data marts and semantic layers</b>.</p></li><li><p>
Solid understanding of data quality management and ETL best practices.</p></li><li><p>
Strong communication skills and ability to work with both technical and non-technical stakeholders.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Nice to Have</b></h2><ul><li><p>
Experience with <b>Data Vault modeling</b>.</p></li><li><p>
Exposure to modern analytics platforms, cloud data services, or feature stores.</p></li><li><p>
Experience supporting self-service BI and analytics use cases.</p></li></ul><p>
</p><p>ZVjrD44tJV</p></div>

MASTER-WORKS

<p></p><div><p>Design, build, and prepare data pipelines and data models within the SAS software environment to ensure reliable, high-quality data for analytics and reporting.</p><p>
</p><p><b>Responsibilities:</b></p><p>
</p><ul><li>Develop and maintain data pipelines using SAS (Base SAS, SAS Data Management, SAS DI).</li></ul><p>
</p><ul><li>Extract, transform, and load (ETL) data from multiple sources into SAS platforms.</li></ul><p>
</p><ul><li>Design and optimize data models to support analytics and reporting use cases.</li></ul><p>
</p><ul><li>Ensure data quality, accuracy, and consistency across datasets.</li></ul><p>
</p><ul><li>Optimize data processing performance and resolve data issues.</li></ul><p>
</p><ul><li>Collaborate with analytics, BI, and business teams to support data requirements.</li></ul><p>
</p><ul><li>Document data processes, workflows, and technical solutions.</li></ul><p>
</p><p><b>Preferred Skills:</b></p><p>
</p><ul><li>Experience with <b>SAS Viya</b></li></ul><p>
</p><ul><li>Knowledge of <b>SQL</b> and relational databases</li></ul><p>
</p><ul><li>Experience with <b>data warehousing</b> concepts</li></ul><p>
</p><ul><li>Familiarity with <b>cloud-based data platforms</b></li></ul><p>
</p><ul><li>Understanding of <b>data governance and security</b></li></ul><p>
</p><ul><li>Experience in banking or regulated environments</li></ul><p>
</p><ul><li><b>SAS certifications</b> (preferred)</li></ul><p>
</p><p><b>Key Competencies:</b></p><p>
</p><ul><li>SAS Data Engineering</li></ul><p>
</p><ul><li>ETL &amp; Data Integration</li></ul><p>
</p><ul><li>Data Modeling</li></ul><p>
</p><ul><li>Data Quality Management</li></ul><p>
</p><ul><li>Performance Optimization</li></ul><p>
</p><ul><li>Analytical Thinking</li></ul><p>
</p><ul><li>Collaboration &amp; Communication</li></ul><p>
</p><p><b>Requirements</b></p><p><b>
Requirements:</b></p><p>
</p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field.</li></ul><p>
</p><ul><li>5+ years of experience working as a SAS Data Engineer or similar role.</li></ul><p>
</p><ul><li>Strong hands-on experience with the SAS platform.</li></ul><p>
</p><ul><li>Solid understanding of ETL, data warehousing, and data modeling concepts.</li></ul><p>
</p><ul><li>Experience working with databases and large datasets.</li></ul></div><p></p>

SAS Data Engineer

WEbook.com

<div><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?</p><p>
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></p><p><b>
Key Responsibilities:</b></p><ul>
<li>
Data Integration and ETL Development</li>
<li>Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform.</li>
<li>Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability.</li>
<li>Optimize data transformation workflows to improve performance and scalability.</li>
<li>Data Infrastructure and Platform Management:</li>
<li>Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements.</li>
<li>Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.</li>
<li>Data Governance and Metadata Management:</li>
<li>Collaborate with the data governance team to establish data policies, standards, and procedures.</li>
<li>Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability.</li>
<li>Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
5-6 years of experience as a Data Engineer or a related role in a data-driven organization.</li>
<li>Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services.</li>
<li>Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb).</li>
<li>Expertise in data modeling, data quality management, and metadata management.</li>
<li>Proficient in programming languages such as Python, or Java, and experience with SQL.</li>
<li>Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices.</li>
<li>Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.</li>
<li>Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.</li>
</ul><p></p><p><b>
Preferred Qualifications:</b></p><ul>
<li>
Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc).</li>
<li>Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.</li>
<li>Project management experience and the ability to lead data integration and infrastructure initiatives.</li>
<li>If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity</li></ul></div>

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div><b>Req # </b></div><div>WD00091684
</div></div><div><div><b>Career Area: </b></div><div>Engineering
</div></div><div><div><b>Country/Region: </b></div><div>Saudi Arabia
</div></div><div><div><b>City: </b></div><div>Riyadh
</div></div><div><div><b>Date: </b></div><div>Monday, January 5, 2026
</div></div><div><div><b>Working Time: </b></div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit <b>www.lenovo.com</b>, and read about the latest news via our <b>StoryHub</b>.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements<br>
</b></h3></div></div><p></p><div><div><div><div><br>
<br>
<div><p>We are looking for a <b>PCG Data Management Engineer </b>to join our team on a full-time basis. In this role, you will lead engineering change execution, maintain production data, manage product labels, and optimize systems and processes. You will also support new product introduction and resolve production abnormalities to ensure smooth operations.</p></div><div></div><p><b><br>
Your Responsibilities:</b></p><ul><li><li>
Engineering change execution - Lead end-to-end implementation of Engineering Change (EC) and Process Change Notice (PCN) in the factory.</li></li><li><li>
Maintain production data by performing accurate entry, updates, and verification in systems such as TDC, MES, and SAP. Ensure production data is accurate and traceable to support production.</li></li><li><li>
Label management - Design, produce, update, and maintain product labels in compliance with local regulations, customer requirements, and factory standards.</li></li><li><li>
System &amp; process optimization - Identify pain points in manufacturing systems and bottlenecks in production processes; propose and implement optimization solutions to improve efficiency and usability.</li></li><li><li>
Support New Product Introduction (NPI) by completing engineering preparation to ensure timely mass production.</li></li><li><li>
Resolve production abnormalities quickly, organize root cause analysis, and implement solutions to minimize impact and reduce downtime.</li></li></ul><div></div><div><b><br>
Position Requirements:</b></div><div></div><div><br>
<ul><li><li>
Bachelor&rsquo;s degree or above in engineering or related fields.</li></li><li><li>
Familiarity with engineering change management processes.</li></li><li><li>
Proficiency in operating at least one production management system (e.g., MES, SAP).</li></li><li><li>
Minimum 5 years of experience in manufacturing production technology, process engineering, or production operations.</li></li></ul><div></div><div><b><br>
What Can We Offer You:</b></div></div><div></div><div><br>
<ul><li><li>
An international team with a high focus on Gender Diversity.</li></li><li><li>
Employee Assistance Program for psychological, legal, and financial consultancy.</li></li><li><li>
A company committed to sustainability through CO2 Offset, Asset Recovery Services, and Lenovo Certified Refurbished portfolio.</li></li><li><li>
Access to training for personal development via our internal e-learning platform.</li></li><li><li>
Mentorship program to support your career growth.</li></li></ul></div><br>
<p></p>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul><br>
</div></div><div></div><div><div><div><br>
<br>
<div><b>AI PROCESSING NOTICE</b></div><div></div><div><br>
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.</div></div></div></div></div></div></div></div>

PCG Data Management Engineer

Explore 881+ Data engineer in Riyadh this January. Find roles across top companies and apply now to boost your career.

881 data engineer jobs IN Riyadh

Data Engineer

Data Engineer

Senior Data Engineer

Senior Data Engineer

SAS Data Engineer

Senior Data Engineer

PCG Data Management Engineer