Data Engineer - Python, SQL, Airflow, dbt - Banking

An established bank is looking for a hands-on Data Engineer to help design, build and maintain a scalable on-premise data warehouse and modern data engineering platform.

This is a strong opportunity for someone who enjoys building robust data pipelines, working close to the infrastructure, and supporting business-critical analytics and reporting. The environment is non-cloud / on-prem , so this will suit someone comfortable working with Unix/Linux, scheduling, scripting, deployment and production support.

You will work with Python, SQL, Apache Airflow and dbt , while also supporting a wider Microsoft BI environment including SSIS, SSRS, SSAS and T-SQL .

You will be responsible for designing and building reliable data pipelines, developing transformation logic, maintaining data models, and supporting the bank’s analytics and reporting platforms.

Key responsibilities incl...