About the Role
We are looking for a Senior Data Engineer to join our growing data team and take ownership of our financial data warehouse, real-time data platform, and data governance initiatives. You will work across DWH architecture, real-time streaming, data quality, and financial data modelling, supporting critical risk, transaction, and business intelligence use cases.
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Responsibilities
- Design and develop the Financial Data Warehouse, covering ODS, DWD, DWS, and ADS layers.
- Build scalable data models across users, transactions, repayments, and risk domains.
- Design and develop real-time data pipelines using Kafka and Flink.
- Support real-time risk features, transaction monitoring, and operational dashboards.
- Ensure consistency between batch and real-time data through unified architectures.
- Establish a Single Source of Truth (SSOT) for key business KPIs.
- Build data governance, metadata, and data quality frameworks.
- Implement automated monitoring and quality checks across batch and streaming pipelines.
Requirements
- 5+ years of experience in Data Engineering / Big Data development.
- Strong hands-on experience with Hive, Spark, and Flink.
- Strong understanding of DWH architecture and ODS / DWD / DWS / ADS layering.
- Production experience with Kafka, Flink or similar streaming technologies.
- Experience with state management, exactly-once processing, and late-arriving data.
- Strong experience in ETL, data modelling and optimisation.
- Experience building data governance and data quality frameworks.
- Mandatory: Strong experience within banking, fintech, payments, lending, credit, or financial risk.
- Good understanding of loan origination, repayments, delinquency, and risk data.
