Data Engineer – Banking & Financial Services

About the role

We are looking for a skilled Data Engineer with solid experience in the banking domain to design, build and optimise high‑quality data pipelines and curated KPI datasets that support enterprise reporting and analytics.

Key responsibilities

• Develop and optimise complex SQL queries using CTEs, window functions and advanced joins.
• Design and build curated KPI datasets for BI and analytics consumption.
• Partner with business and analytics teams to implement KPI logic and reporting requirements.
• Ensure data accuracy through reconciliation, validation and quality checks.
• Integrate data from multiple banking source systems into unified analytical models.
• Monitor and tune query performance to ensure scalability and efficiency.
• Support ongoing enhancements and maintenance of data pipelines and reporting datasets.

Required profile

• 3‑5 years of hands‑on experience as a Data Engineer in the banking or financial services sector.
• Strong expertise in SQL, including CTEs, window functions, aggregations and complex joins.
• Solid understanding of data quality, reconciliation and performance optimisation.
• Experience integrating data from heterogeneous source systems.
• Strong analytical skills and ability to work with business stakeholders.

Required skills

• SQL
• CTEs
• Window functions
• Aggregations
• Complex joins
• Data quality
• Reconciliation
• Performance optimisation