Financial Data
Location: Georgia
Employment Type: Full-Time
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.
Key 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.
