Senior Data Engineer

JOB DESCRIPTION

We are looking for an experienced Senior Data Engineer to join a digital banking data platform project. You will work closely with Agile product teams across mobile banking, digital banking, corporate banking, and customer insights to design, build, and optimize scalable data solutions that support millions of banking users.

Key Responsibilities

Design, develop, and maintain scalable data pipelines for batch and real-time processing using Python, SQL, Spark/PySpark, and related technologies.

Build and evolve enterprise data platforms on Google Cloud Platform (GCP), with BigQuery as a core data warehouse/lakehouse solution.

Develop robust data ingestion, transformation, data quality, and serving layers to support digital banking applications, customer analytics, and personalized banking experiences.

Design and implement scalable enterprise data models using Data Vault 2.0, medallion architecture, or other modern data modeling approaches.

Develop and optimize streaming pipelines to process banking transactions, mobile application events, and customer behavioral data with high throughput and low latency.

Implement data governance, lineage, security, and compliance practices to ensure data quality, integrity, and reliability in a regulated banking environment.

Optimize data pipelines for performance, cost efficiency, scalability, and operational r