Data Engineer Data Analytics Meezan Bank

Full Time
  • Full Time
  • Karachi

Website Meezan Bank

Meezan Bank is hiring a Data Engineer for its Data Analytics – Finance Department at the bank’s Head Office in Karachi. This opportunity is particularly suitable for experienced data engineering professionals with expertise in ETL/ELT pipelines, enterprise data integration, data warehousing, and IBM data technologies.

Candidates with at least three years of relevant experience and a Bachelor’s degree in Computer Science, Information Technology, or Software Engineering can apply.

Job Overview

Position: Data Engineer
Company: Meezan Bank
Department: Data Analytics – Finance Department
Location: Head Office, Karachi
Industry: Banking / Financial Services
Experience: 3+ years
Employment Type: Not specified
Qualification: Minimum Bachelor’s degree

The Data Engineer will be responsible for developing and maintaining the data infrastructure and integration pipelines required to support analytics, reporting, and other data-driven requirements within the bank.

Educational Requirements

Applicants should have a minimum Bachelor’s degree in one of the following disciplines:

  • Computer Science
  • Information Technology
  • Software Engineering

The degree should be from an HEC-recognized institute or university.

A qualification or certification in Islamic Finance will be considered an additional advantage.

Experience Requirements

Candidates should have at least three years of experience in areas including:

  • Data Engineering
  • ETL/ELT
  • Data Warehousing
  • Enterprise Data Integration

Meezan Bank is specifically seeking candidates with hands-on experience working with IBM DataStage, DB2W and Big SQL, along with experience building and managing both batch and real-time data pipelines.

Technical Skills Required

The role requires a strong understanding of modern enterprise data engineering. Relevant technical experience includes:

ETL/ELT: Experience designing, developing, maintaining and optimizing data extraction, transformation and loading processes.

IBM DataStage: Hands-on experience using IBM DataStage for enterprise-scale data integration and transformation.

DB2W and Big SQL: Practical experience working with the database and data-processing technologies identified in the job advertisement.

Data Warehousing: Understanding of enterprise data warehouse environments and the movement of data between operational and analytical systems.

Batch & Real-Time Pipelines: Ability to develop pipelines that process scheduled batch workloads as well as data that needs to be processed in near real time.

CDC & Incremental Processing: Experience with Change Data Capture (CDC) and incremental loading techniques to efficiently process new and modified data.

Data Integration: Experience integrating data through APIs, files, databases and other enterprise systems.

Streaming & Distributed Processing: Familiarity with processing large-scale and continuously generated datasets through streaming and distributed data-processing approaches.

Key Responsibilities

The selected Data Engineer will be responsible for developing and maintaining ETL/ELT, batch and real-time data pipelines using IBM DataStage, DB2W, Big SQL and other relevant integration technologies.

Another important responsibility will be monitoring data pipelines to ensure they operate reliably and efficiently while continuing to support the bank’s analytics and reporting requirements.

The Data Engineer will also collaborate with several technical and business stakeholders, including business users, Data Modelers, Data Architects, Business Intelligence (BI) teams and Data Governance teams.

This collaboration will help ensure that data solutions are scalable and properly aligned with organizational requirements.

Data Quality, Security and Compliance

Because the position operates within a banking environment, technical implementation is only one part of the role.

The successful candidate will also be expected to help maintain:

  • Data quality
  • Pipeline performance
  • Data security
  • Compliance
  • Operational reliability

Candidates with experience implementing controlled and reliable data pipelines within banking, financial services, telecom, enterprise technology, or other data-intensive environments may therefore have particularly relevant experience.

Who Should Consider Applying?

This opportunity is suitable for professionals currently working as Data Engineers, ETL Developers, Data Integration Engineers, Data Warehouse Engineers, or in similar enterprise data roles.

A particularly relevant candidate would have three or more years of experience and be comfortable working with complex data transformations, IBM DataStage, enterprise databases, data warehouses, APIs, CDC processes, batch pipelines and real-time integration.

How to Strengthen Your CV

Candidates should avoid simply listing technologies on their CV. Instead, highlight projects and measurable responsibilities.

For example, mention the types of ETL/ELT pipelines you developed, the volume of data processed, data sources integrated, IBM technologies used, performance improvements achieved, and your experience implementing incremental or CDC-based processing.

Experience related to data governance, security, regulatory compliance and banking data should also be highlighted where applicable.

How to Apply for the Meezan Bank Data Engineer Position

The original advertisement provides a QR code for the online application. Interested candidates should scan the QR code appearing on the official job advertisement and complete the application through the provided recruitment channel.

Before applying, candidates should ensure their CV clearly highlights their experience with:

Data Engineering | ETL/ELT | IBM DataStage | DB2W | Big SQL | Data Warehousing | CDC | APIs | Batch Processing | Real-Time Pipelines | Data Integration | Streaming | Distributed Data Processing

No application deadline was included in the information provided, so candidates interested in the opportunity should consider applying promptly through the official application channel.

Job Summary

Organization: Meezan Bank
Position: Data Engineer
Function: Data Analytics – Finance Department
Location: Head Office, Karachi
Minimum Qualification: Bachelor’s in Computer Science, IT, or Software Engineering
Institute Requirement: HEC-recognized institute/university
Preferred Additional Qualification: Islamic Finance
Experience: 3+ years
Core Technologies: IBM DataStage, DB2W, Big SQL
Core Areas: ETL/ELT, Data Warehousing, Enterprise Data Integration, CDC, APIs, batch and real-time pipelines
Application Method: Online application through the QR code provided in the official advertisement
Deadline: Not specified

For experienced data professionals interested in working at the intersection of data engineering, analytics and financial services, this position offers the opportunity to contribute to enterprise-scale data infrastructure within Meezan Bank’s Finance Department.

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