Senior Data Engineer

We are seeking a hands-on Data Engineer with strong experience in Spark-based processing, object storage platforms, and data modeling to build and maintain MMBL’s Medallion Architecture (Raw → Curated → Semantic) on MINIO-based Delta Lake. You will play a key role in integrating multi-system data and supporting analytics, BI, and ML downstream.

If you are passionate about data engineering and ETL processes and have experience working with large-scale data platforms, we would love to hear from you! Apply today to be part of our team.

What Senior Data Engineer - MMBL does?

Develop and manage data pipelines across ingestion (Kafka, Sqoop, Trino), transformation (Spark), and enrichment (Delta Lake on MINIO).

Design and maintain Raw, Curated, and Semantic Zones within the Data Lake following the Medallion Architecture.

Enable scalable processing and curation using Apache Spark (batch + structured streaming).

Implement data modelling in OLAP columnar formats for BI performance.

Collaborate with governance teams to ensure data is discoverable, high-quality, and catalogued via Open Metadata.

Support structured and federated queries across data zones using Trino.

Contribute to data quality frameworks, lineage tracking, and performance tuning.

What are we looking for and what does it require to be Senior Data Engineer - MMBL?

Education : Bachelor’s / master’s degree in computer science, Information Technology, or a related field.

Experience : 3 to 5 years of experience in data engineering, ETL development, or related fields.

Key Skills :

Strong experience in SQL development and database optimization (Oracle 19c, PostgreSQL, MySQL).

Proficiency in Trino, Sqoop, Delta Lake, and MINIO for data processing and storage.

Hands-on experience with Python and R for data manipulation and ETL automation.

Expertise in Big Data technologies and distributed computing frameworks.

Experience with Tableau for data visualization and reporting.

Strong understanding of data warehousing concepts, data lakes, and cloud storage solutions.

Knowledge of data governance, security, and compliance standards.

Strong experience with Apache Spark (PySpark) or Trino.

Working knowledge of object stores (MINIO, S3) and Delta-Lake architecture.

Expertise in Medallion Data Architecture (Raw → Curated → Semantic).

Proficiency in data modeling, data federation, and columnar OLAP stores (e.g., Parquet).

Proficient in SQL, Trino / Presto, and batch + streaming pipelines.

Job Locations :

Head Office

About MMBL :

Mobilink Microfinance Bank Ltd. is providing banking services to over 48 million registered users including 20+ million monthly active customers across Pakistan. With a hybrid model that combines traditional microfinance with mobile / digital banking technologies, the bank now operates with over 114 branches and 270,000 branchless banking agents and provides a USSD (GSM) based digital channel offering savings, micro enterprise (MSME) loans, small housing loans, remittances, collection (utility bills and loan installments), mobile wallets, insurance, G2P, B2B & B2P payments; thus, playing a leading role in the promotion of financial inclusion.MMBL is committed to fostering a positive and productive workplace, and our core values reflect this focus. These values include promoting innovation and entrepreneurship, encouraging teamwork and collaboration, and prioritizing a customer-centric approach in all aspects of our business.

Why Join MMBL ?

This is an opportunity for someone who is passionate about making a difference and playing a key role in driving transformative change. Our team is committed to empowering millions with the tools necessary to succeed in the digital age, and we're looking for a talented individual to join us in this endeavor.

#J-18808-Ljbffr