ai data engineer

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big data engineer

ieng Group

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  The Company&rsquo;s Equal Opportunities policy applies equally to the recruitment process and must be complied with at every stage of the recruitment process. This means that prospective applicants should not be discriminated against either directly or indirectly on the grounds of race, nationality, ethnic origin, gender, marital status, sexual orientation, cultural or religious beliefs, disability and age. In addition, candidates should not be discriminated against based on pregnancy. Preparation of job descriptions, person specifications, advertisements, short-listing, interviewing and selection of applicants should reflect a commitment to achieving and maintaining equal opportunities within the workplace. Interviewers should only ask job-related questions.
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  Role and Responsibilities:
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  1. Programming and Scripting: Utilize programming languages such as Python, R, and Java to develop scripts for data processing tasks.
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  2. Database Management: Work with various database systems including SQL and NoSQL databases for storing and managing data effectively.
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  3. Container Management: Experience with container management frameworks like Docker, Kubernetes, and ECR to deploy and manage data processing applications efficiently.
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  4. Data Processing Technologies: Proficiency in scalable and distributed data processing technologies/frameworks such as Spark/PySpark, DBT, Kafka, and Hadoop to handle large volumes of data effectively.
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  5. SQL Skills: Strong SQL skills across a variety of relational data warehousing technologies, especially in cloud data warehousing platforms such as Amazon Redshift, Google BigQuery, and Snowflake.
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  6. Software Development Lifecycle (SDLC): Understanding of SDLC, particularly Agile methodologies, to ensure efficient project delivery.
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  7. Big Data Principles: Thorough understanding of big data principles, techniques, and best practices.
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  8. Data Pipeline Architecture: Design and develop scalable, reliable, and efficient data pipelines for collecting, ingesting, and processing diverse data from multiple sources.
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  9. Data Modeling and Warehousing: Create and optimize data models to enable seamless integration of data from various sources into centralized data warehouses or data lakes.
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  10. Data Governance and Security: Establish data governance frameworks and implement robust data security measures to ensure compliance with privacy regulations and protect sensitive information.
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  11. Performance Optimization: Continuously monitor and fine-tune data platform performance to meet SLAs and optimize resource utilization.
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  12. Technology Evaluation: Stay updated with industry trends, emerging technologies, and best practices in data engineering. Assess and recommend new tools and frameworks to improve data processing capabilities.
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  13. Cross-Functional Collaboration: Collaborate with data analysts, data scientists, and software engineers to understand their data requirements, offer data engineering support, and contribute to the development of data-driven products and solutions.
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  14. Data Quality and Monitoring: Implement robust data quality checks and monitoring systems to ensure the accuracy, consistency, and reliability of data.
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  15. Automation and Fault Tolerance: Possess an &ldquo;automation-first&rdquo; mindset when building solutions, incorporating self-healing and fault-tolerant methods to minimize manual intervention and downtime.
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  16. Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data engineering processes, best practices, and technical standards. Facilitate knowledge sharing sessions with the broader team.
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  Qualifications Requirements:
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  - 3 years of experience in data engineering or a related field.
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  - Strong proficiency in programming languages such as Python, R, and Java.
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  - Experience with database management systems, including SQL and NoSQL databases.
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  - Familiarity with container management frameworks like Docker, Kubernetes, and ECR.
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  - Experience with scalable and distributed data processing technologies/frameworks such as Spark/PySpark, DBT, Kafka, and Hadoop.
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  - Solid understanding of big data principles, techniques, and best practices.
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  - Experience with cloud data technology stacks such as Azure, AWS, or GCP is preferred.
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  - Excellent communication and collaboration skills.
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  - Ability to work effectively in a fast-paced, dynamic environment.
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  Education Requirements:
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  - Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
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  Advanced degree preferred.
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</div>


Data Engineer

ZIEL Global Private Limited

<p><b>About the Role</b><br/>We&rsquo;re looking for a <b>Data Engineer</b> to build secure, reliable, and scalable data pipelines powering real-time analytics and AI insights. You&rsquo;ll design cloud-based architectures that process, clean, and deliver mission-critical data across operations.</p><p><b>Key Responsibilities</b></p><ul><li>Design and maintain data pipelines for large-scale transactional and real-time data</li><li>Develop ETL/ELT workflows using Azure Data Factory, Databricks, or similar</li><li>Implement data quality, validation, and monitoring frameworks</li><li>Ensure compliance with data governance and protection regulations</li><li>Optimize data storage and access performance</li><li>Collaborate with AI, product, and backend teams for seamless data delivery</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s in Computer Science, Engineering, or related field</li><li>5+ years of data engineering experience</li><li>Expertise in SQL, Python, and Azure data services (Data Factory, Synapse, Data Lake)</li><li>Knowledge of both batch and streaming architectures</li><li>Strong understanding of data security and governance</li></ul><p><b>Preferred</b></p><ul><li>Experience with real-time analytics and industrial or procurement datasets</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul><p>Work Location: In person</p>

Datamatics Technology

<div><p><b>Position:</b> BI Engineer (Tableau / MicroStrategy / Data Analytics)<br>
<b>Experience Level:</b> 7+ Years<br>
<b>Location:</b> Riyadh - Onsite<br>
<b>Employment Type:</b> Full-time<br>
<b>Industry Experience</b> : Telecom</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We are seeking an experienced <b>BI Engineer / Tableau Developer</b> with a strong background in Business Intelligence, Data Visualization, and Analytics Engineering. The ideal candidate will have hands-on expertise in <b>Tableau, MicroStrategy, QlikSense, Power BI, Teradata, SQL Server, and data governance</b>. This role requires a blend of technical development, administration, performance optimization, and stakeholder engagement to deliver scalable, self-service BI platforms that empower data-driven decision-making.</p><p>
The candidate should bring proven experience from <b>telecommunications, financial services, and microfinance industries</b>, with a track record of delivering impactful BI solutions, leading teams, and executing technology migration projects.</p><h2 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
Business Intelligence &amp; Analytics</b></h3><ul><li><p>
Design, develop, and maintain interactive dashboards and reports using <b>Tableau, MicroStrategy, and QlikSense</b>.</p></li><li><p>
Optimize BI extracts, data models, and performance for high efficiency and scalability.</p></li><li><p>
Conduct data analysis to support strategic decision-making and business initiatives.</p></li><li><p>
Collaborate with cross-functional teams to translate business requirements into BI solutions.</p></li></ul><h3 class="jobSectionHeader"><b>
Tableau Development &amp; Administration</b></h3><ul><li><p>
Administer <b>Tableau Server</b>, including user management, roles, permissions, and governance.</p></li><li><p>
Implement best practices in dashboard design, data visualization, and performance optimization.</p></li><li><p>
Manage Tableau data sources, ensuring accuracy, consistency, and reliability.</p></li><li><p>
Troubleshoot and resolve BI/ETL performance and usability issues.</p></li></ul><h3 class="jobSectionHeader"><b>
MicroStrategy Development &amp; Maintenance</b></h3><ul><li><p>
Develop and optimize <b>MicroStrategy reports, dashboards, schema objects, and project architecture</b>.</p></li><li><p>
Lead self-service BI initiatives to empower business users with advanced analytics tools.</p></li><li><p>
Ensure seamless integration of MicroStrategy with various databases (Teradata, SQL Server, Vertica, etc.).</p></li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Technology Migration</b></h3><ul><li><p>
Support <b>technology stack migrations</b> (e.g., Teradata Vertica, SAP BO QlikSense).</p></li><li><p>
Maintain data pipelines, transformations, and semantic layers for BI systems.</p></li><li><p>
Ensure data integrity, governance, and compliance across reporting platforms.</p></li></ul><h3 class="jobSectionHeader"><b>
Collaboration &amp; Leadership</b></h3><ul><li><p>
Lead BI/analytics projects and mentor junior team members.</p></li><li><p>
Engage with stakeholders to gather requirements, deliver insights, and drive adoption of BI tools.</p></li><li><p>
Document solutions, processes, and best practices for scalability and knowledge sharing.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Required Skills &amp; Competencies</b><br>
</h2><h3 class="jobSectionHeader"><b>
Technical Skills</b></h3><ul><li><p><b>
BI Tools:</b> Tableau, MicroStrategy, QlikSense, Power BI</p></li><li><p><b>
Databases &amp; ETL:</b> Teradata, SQL Server, HP Vertica, Teradata Utilities</p></li><li><p><b>
Languages:</b> SQL, DAX</p></li><li><p><b>
Design:</b> Semantic Layer Design, SLJM</p></li><li><p><b>
Data Governance:</b> Security roles, user management, data quality, compliance</p></li></ul><h3 class="jobSectionHeader"><b><br>
Functional Skills</b></h3><ul><li><p>
Tableau dashboard development &amp; administration</p></li><li><p>
Data visualization best practices &amp; performance optimization</p></li><li><p>
Data source integration &amp; management</p></li><li><p>
Stakeholder engagement &amp; requirements gathering</p></li><li><p>
Troubleshooting, issue resolution, and process optimization</p></li></ul><h2 class="jobSectionHeader"><b><br>
Industry Experience</b></h2><ul><li><p><b>
Telecommunications</b> &ndash; Analytics, Reporting, Self-Service, Technology Migrations</p></li></ul><h2 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h2><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Analytics, Information Systems, or related field.</p></li><li><p>
7+ years of hands-on experience in <b>BI Development, Data Visualization, and Analytics Engineering</b>.</p></li><li><p>
Proven experience leading BI projects and small teams.</p></li><li><p>
Strong communication and presentation skills for technical and non-technical stakeholders.</p></li></ul><p>
</p><p>jGcQNmWv2k</p></div>

BI Engineer (Tableau / MicroStrategy / Data Analytics)

eMumba

<p></p><div><div><div><div><div><div><div><div><div>We&rsquo;re hiring a <b>hands-on Principal Data Engineer</b> who can both <b>architect and build</b> large-scale data systems.<br>
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You&rsquo;ll design the blueprints for modern data pipelines &mdash; then write the code to bring them to life. From event-driven ingestion to analytics-ready datasets, your work will power the data backbone behind Emumba&rsquo;s AI and product platforms.<br>
</div><div>This is a <b>technical IC position</b>, not a managerial one. You&rsquo;ll spend most of your time writing code, optimizing data pipelines, and mentoring engineers through real-world implementation.</div></div></div>
</div><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><div><div><div><ul><li><b>Design and code</b> robust data pipelines for batch and real-time use cases.</li>
<li>Define data models, schemas, and evolution strategies for scalable systems.</li>
<li>Implement <b>reliable ingestion, transformation, and storage layers</b> across cloud services.</li>
<li>Work hands-on with event-driven architectures, microservices, and data APIs.</li>
<li>Optimize data quality, performance, and observability.</li>
<li>Partner with AI and backend teams to make data discoverable and usable in production.</li>
</ul><div>Contribute <b>directly to architecture, code reviews, and performance tuning</b>.</div></div></div>
</div><h2 class="jobSectionHeader"><b>Skills, Knowledge and Expertise
</b></h2><div><div><div><p><b>Must-Have Skills</b>
</p><ul><li>6+ years of hands-on experience in designing and building production data systems.</li>
<li>Strong coding in <b>Python</b> and proficiency in <b>SQL</b>.</li>
<li>Experience with <b>data modeling, ETL/ELT</b>, and data lifecycle management.</li>
<li>Familiarity with <b>event-driven systems</b> (Kafka, Kinesis, or similar).</li>
<li>Practical experience with <b>cloud-native data workflows</b> (AWS S3, Lambda, Glue, or similar).</li>
<li>Solid understanding of structured, semi-structured, and unstructured data formats.</li>
</ul><p><b>Nice-to-Have</b>
</p><ul><li>Experience working with vector stores or retrieval-based pipelines.</li>
<li>Familiarity with Lakehouse concepts (Delta/Iceberg/Hudi &mdash; or similar patterns).</li>
<li>Understanding of data governance, cataloging, and lineage tracking.</li>
<li>Exposure to ML data preparation or feature store design.</li>
</ul><p><b>Soft Skills</b>
</p><ul><li><b>Hands-on builder attitude: </b>owns delivery from architecture to deployment.</li>
<li>Collaborates across AI, backend, and DevOps teams.</li>
<li>Provides mentorship through examples, not supervision.</li>
</ul><div>Communicates clearly and pragmatically about technical trade-offs.</div></div></div>
</div><h2 class="jobSectionHeader"><b>About Emumba
</b></h2><div><div>We specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.</div></div><p></p><div><br>
</div></div></div></div></div><p></p><div><div><div><div><div><div><div>
</div></div><div><div><p>Department</p>
<p><b>Backend</b></p>
<p>Employment Type</p>
<p><b>Full Time</b></p>
<p>Location</p>
<p><b>Islamabad, Pak</b></p>
<p>Workplace type</p>
<p><b>Fully remote</b></p></div></div></div></div></div></div></div></div><p></p>

Principal Data Engineer

Pakistan Single Window (PSW)

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   Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing
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   Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP)
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   Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights
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   Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance
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   Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments
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  Requirements
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  <li>
   Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field
  </li>
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   Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure
  </li>
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   Expertise in Python, PySpark, and SQL for data transformation and large-scale processing
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   Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation
  </li>
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   Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval
  </li>
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   Proficiency in containerization and orchestration tools like Docker and Kubernetes
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   Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment
  </li>
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   Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash
  </li>
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   Ability to optimize AI-driven automation processes and ensure model efficiency
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  <li>
   Strong analytical and problem-solving skills
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   Excellent communication and collaboration abilities
  </li>
 </ul>
</div>


AI Data Engineer

Pakistan Single Window

<div><ul><li>Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing.</li>
<li>Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP).</li>
<li>Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights.</li>
<li>Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance.</li>
<li>Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.</li>
<li>Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure.</li>
<li>Expertise in Python, PySpark, and SQL for data transformation and large-scale processing.</li>
<li>Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation.</li>
<li>Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval.</li>
<li>Proficiency in containerization and orchestration tools like Docker and Kubernetes.</li>
<li>Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment.</li>
<li>Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash.</li>
<li>Ability to optimize AI-driven automation processes and ensure model efficiency.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication and collaboration abilities.</li></ul></div>

<p></p><div><div><div><div><div><div><div><div><div>We are looking for Platform Software Engineer having 4 to 8 years of experience who can perform embedded system software design and implementation for leading high-performance data networking products as a member of a highly capable and dynamic engineering team.</div></div></div>
</div><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><div><div><div><ul><li>Architect/Design and Develop embedded platform software for high end networking solutions.</li>
<li>Work closely with HW Development team to enable rapid platform bring up.</li>
<li>Participate in HW Design reviews, articulate system software requirements.</li>
<li>Demonstrate cross functional collaboration with Product Marketing, SQA and other development teams to ensure embedded platform software meets all performance, scalability, interop and security requirements.</li>
</ul></div></div></div><h2 class="jobSectionHeader"><b>Skills, Requirements and Expertise
</b></h2><div><div><div><ul><li>Minimum of B.S./B.E./B.Tech in CS/EE/ECE.</li>
<li>Minimum of 4 to 8 years of experience developing complex networking solutions.</li>
<li>Excellent understanding of Linux Internals, Device Driver development, BIOS/BMC Operations.</li>
<li>Excellent knowledge of switching ASICs (Broadcom XGS/DNX).</li>
<li>Expert programming skills in C/C++; GoLang experience is a plus.</li>
<li>Ability to thrive in fast paced agile development environment.</li>
<li>Familiarity with Secure coding practices is a big plus.</li>
<li>Solid understanding of network security (Encryption, Authentication, DDOS mitigation etc) is a big plus.</li>
<li>Strong debugging and troubleshooting skills.</li>
<li>Must have strong written, oral communication and interpersonal skills.</li>
<li>Understanding of virtualization technologies (Virtual Machines, Containers) is a plus.</li>
</ul></div></div></div><h2 class="jobSectionHeader"><b>About Emumba
</b></h2><div><div>We specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.</div></div><p></p><div><br>
</div></div></div></div></div><p></p><div><div><div><div><div><div><div>
</div></div><div><div><p>Department</p>
<p><b>Backend</b></p>
<p>Employment Type</p>
<p><b>Full Time</b></p>
<p>Location</p>
<p><b>Islamabad, Pak</b></p>
<p>Workplace type</p>
<p><b>Hybrid</b></p></div></div></div></div></div></div></div></div><p></p>

Platform Software Engineer

Explore 478+ Big data engineer in Islamabad this October. Find roles across top companies and apply now to boost your career.

478 big data engineer jobs IN Islamabad

Data Engineer

Data Engineer

BI Engineer (Tableau / MicroStrategy / Data Analytics)

Principal Data Engineer

AI Data Engineer

AI Data Engineer

Platform Software Engineer