Senior Data Engineer

We are seeking a highly skilled Data Engineer with extensive experience in ETL/ELT processes, data warehousing, and enterprise data integration to join our Finance Department’s Data Analytics team. The ideal candidate will have a strong technical background in IBM DataStage, DB2W, Big SQL, and related technologies, along with a proven ability to design and implement complex batch and real-time data pipelines. This role demands collaboration with multiple stakeholders to deliver scalable, high-performance, and governed data solutions that support critical business functions.

Key Responsibilities:
- Lead the design, development, and maintenance of complex ETL/ELT workflows, batch and real-time data pipelines, and enterprise data integration projects using IBM DataStage, DB2W, Big SQL, Cognos, and other relevant tools.
- Collaborate closely with Data Modelers, Architects, Business Intelligence, and Governance teams to ensure data solutions are scalable, agile, and compliant with governance standards.
- Establish and enforce data quality controls, including validation frameworks, source-to-target reconciliation, balancing checks, and exception handling mechanisms.
- Implement automated monitoring systems to maintain data integrity across critical pipelines, ensuring timely detection and resolution of data issues.

Required Qualifications:
- A minimum of a Bachelor’s degree in Computer Science, Information Technology, or Software Engineering from an HEC-recognized institute or university.
- At least 7 years of professional experience in Data Engineering, ETL/ELT development, data warehousing, and enterprise integration.
- Hands-on expertise with IBM DataStage, DB2W, Big SQL, and proficiency in SQL.
- Strong knowledge of batch and real-time data processing, complex data transformations, CDC/incremental data processing, API and file-based integrations, streaming technologies, and distributed processing frameworks.
- Experience with data quality management, including profiling, validation, cleansing, reconciliation, and control checks.
- Familiarity with data lineage, data governance principles, Change Data Capture (CDC), APIs, streaming architectures, and lakehouse data architectures.

Preferred Qualifications and Additional Benefits:
- Qualification or certification in Islamic Finance is considered an advantage and will enhance the candidate’s suitability for the role.

This position is based at our Head Office in Karachi and is part of the Finance Department’s Data Analytics division. The deadline to apply for this opportunity is October 21st, 2026.

We encourage candidates who meet the above criteria and are looking to contribute to a dynamic team focused on delivering innovative data solutions within the financial sector to apply.