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ZIEL Global Private Limited

About the Role We&rsquo;re looking for a Data Engineer 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.Key Responsibilities<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>Qualifications<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>Preferred<ul><li>Experience with real-time analytics and industrial or procurement datasets</li></ul>Job Type: Full-timeApplication Question(s):<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>Work Location: In person

Data Engineer

ieng Group

<div>
 
 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.
 
 
 
 
 
 Role and Responsibilities:
 
 
 
 
 
 1. Programming and Scripting: Utilize programming languages such as Python, R, and Java to develop scripts for data processing tasks.
 
 
 
 
 
 2. Database Management: Work with various database systems including SQL and NoSQL databases for storing and managing data effectively.
 
 
 
 
 
 3. Container Management: Experience with container management frameworks like Docker, Kubernetes, and ECR to deploy and manage data processing applications efficiently.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 6. Software Development Lifecycle (SDLC): Understanding of SDLC, particularly Agile methodologies, to ensure efficient project delivery.
 
 
 
 
 
 7. Big Data Principles: Thorough understanding of big data principles, techniques, and best practices.
 
 
 
 
 
 8. Data Pipeline Architecture: Design and develop scalable, reliable, and efficient data pipelines for collecting, ingesting, and processing diverse data from multiple sources.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 11. Performance Optimization: Continuously monitor and fine-tune data platform performance to meet SLAs and optimize resource utilization.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 14. Data Quality and Monitoring: Implement robust data quality checks and monitoring systems to ensure the accuracy, consistency, and reliability of data.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 Qualifications Requirements:
 
 
 
 
 
 - 3 years of experience in data engineering or a related field.
 
 
 - Strong proficiency in programming languages such as Python, R, and Java.
 
 
 - Experience with database management systems, including SQL and NoSQL databases.
 
 
 - Familiarity with container management frameworks like Docker, Kubernetes, and ECR.
 
 
 - Experience with scalable and distributed data processing technologies/frameworks such as Spark/PySpark, DBT, Kafka, and Hadoop.
 
 
 - Solid understanding of big data principles, techniques, and best practices.
 
 
 - Experience with cloud data technology stacks such as Azure, AWS, or GCP is preferred.
 
 
 - Excellent communication and collaboration skills.
 
 
 - Ability to work effectively in a fast-paced, dynamic environment.
 
 
 
 
 
 Education Requirements:
 
 
 - Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 
 
 Advanced degree preferred.
 
 
 
</div>

eMumba

<div><div><div><div><div><div><div><div><div>We&rsquo;re hiring a hands-on Principal Data Engineer who can both architect and build large-scale data systems. 
 
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. 
</div><div>This is a technical IC position, 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">Key Responsibilities
</h2><div><div><div><ul><li>Design and code 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 reliable ingestion, transformation, and storage layers 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 directly to architecture, code reviews, and performance tuning.</div></div></div>
</div><h2 class="jobSectionHeader">Skills, Knowledge and Expertise
</h2><div><div><div>Must-Have Skills
<ul><li>6+ years of hands-on experience in designing and building production data systems.</li>
<li>Strong coding in Python and proficiency in SQL.</li>
<li>Experience with data modeling, ETL/ELT, and data lifecycle management.</li>
<li>Familiarity with event-driven systems (Kafka, Kinesis, or similar).</li>
<li>Practical experience with cloud-native data workflows (AWS S3, Lambda, Glue, or similar).</li>
<li>Solid understanding of structured, semi-structured, and unstructured data formats.</li>
</ul>Nice-to-Have
<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>Soft Skills
<ul><li>Hands-on builder attitude: 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">About Emumba
</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><div> 
</div></div></div></div></div><div><div><div><div><div><div><div>
</div></div><div><div>Department
Backend
Employment Type
Full Time
Location
Islamabad, Pak
Workplace type
Fully remote</div></div></div></div></div></div></div></div>

Principal Data Engineer

Secure Tech Cards Pvt. Ltd

Secure Tech Consultancy Position: Senior Data Engineer (For Our Client)We&rsquo;re hiring an experienced Senior Data Engineer to design, build, and maintain advanced data systems for our client in the Fintech domain. The ideal candidate will have strong expertise in ETL development (Python, Talend), data warehousing, and SQL optimization across multiple databases.Key Responsibilities:<ul><li>Design and maintain complex ETL/ELT pipelines and data architectures.</li><li>Build scalable data solutions for analytics and business intelligence.</li><li>Optimize SQL queries and data warehouse models (Star, Snowflake).</li><li>Manage and integrate data across Teradata, Oracle, Postgres, MySQL, MongoDB, Gauss DB, and IBM DB.</li><li>Automate processes using Linux bash scripting.</li><li>Collaborate with cross-functional teams to deliver data-driven insights.</li></ul>Requirements:<ul><li>4+ years in Data Engineering or BI.</li><li>Strong command of Python, Talend, SQL, and data modeling.</li><li>Experience in Linux scripting and familiarity with Microstrategy.</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Engineering, or related field.</li></ul>If you&rsquo;re passionate about building high-performing data systems, apply now to join Secure Tech Consultancy&rsquo;s expert team.Job Type: Full-timePay: From Rs180,000.00 per monthWork Location: In person

Senior Data Engineer

Mercurial Minds (Pvt) Ltd

Senior Data Engineer Job DescriptionRole OverviewWe are seeking a highly skilled and experienced Senior Data Engineer to join our data team. This role is critical for designing, building, and maintaining our robust data architecture, ensuring high-quality data pipelines that drive key business intelligence and analytical decisions. The ideal candidate is an expert in diverse database systems, advanced ETL processes, and complex data warehousing concepts.Key ResponsibilitiesData Pipeline Development &amp; ETL<ul><li>Design, develop, and maintain complex ETL (Extract, Transform, Load) and ELT processes using Python and Talend.</li><li>Develop robust, scalable, and highly performant data solutions for business intelligence and analytics.</li><li>Implement data quality checks, data validation, and monitoring processes within all ETL jobs.</li></ul>Database and Data Warehousing<ul><li>Serve as the subject matter expert in developing and optimizing complex SQL queries utilizing advanced analytical functions (e.g., window functions, common table expressions).</li><li>Apply expert knowledge of Data Warehouse (DWH) modeling techniques (e.g., Star Schema, Snowflake Schema, 3NF) to design and optimize data structures.</li><li>Demonstrate proficiency in managing and integrating data from a variety of databases, including Mongo DB, Teradata, Oracle, Gauss DB, IBM DB, Postgres, and MySQL.</li></ul>Technical Environment &amp; Tools<ul><li>Utilize and maintain expertise in the Linux bash scripting environment for automation and job orchestration.</li><li>Work with reporting and visualization tools, specifically Microstrategy, to support downstream reporting requirements.</li></ul>Project Leadership &amp; Communication<ul><li>Lead and manage complex, end-to-end data projects, ensuring delivery meets technical specifications and business timelines.</li><li>Communicate effectively with multiple stakeholders, including product managers, business analysts, and leadership, translating technical complexities into clear business implications.</li><li>Possess strong presentation skills and be proficient in designing clear, compelling data-driven presentations to share insights and project updates.</li></ul>Domain Knowledge<ul><li>A deep knowledge of Fintech Domain Required</li></ul>Required Qualifications and Skills<ul><li>Experience: 4+ years of experience in Data Engineering, Business Intelligence, or a related field.</li><li>Expert ETL Tools: Proven, hands-on expertise in writing complex ETL logic using Python and Talend.</li><li>Advanced SQL: Expert-level proficiency in writing and tuning complex SQL queries and utilizing advanced analytical/window functions.</li><li>Data Modeling: Deep knowledge of DWH modeling principles (Star, Snowflake, etc.).</li><li>Database Expertise: Hands-on experience with the administration, querying, and performance tuning of a diverse set of database technologies, including Teradata, Oracle, Postgres, MySQL, Mongo DB, Gauss DB, and IBM DB.</li><li>Scripting: Strong proficiency in Linux bash scripting for automation.</li><li>BI Tooling: Familiarity with the Microstrategy reporting tool is highly desirable.</li><li>Soft Skills: Demonstrated ability to manage projects, handle ambiguity, and present technical information clearly to non-technical audiences.</li></ul>Education<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related quantitative field.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Linux: 2 years (Required)</li></ul>Work Location: In person

Pakistan Single Window (PSW)

<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>
 
 Requirements
 
 
 
 <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>

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>
Requirements<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>

Explore 379+ Data engineer in Islamabad Pakistan this November. Find roles across top companies and apply now to boost your career.

379 data engineer jobs IN Islamabad Pakistan

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