Data Engineer

Company: My client are a fast-growing fintech transforming how people manage and move money. As a Data Engineer, you’ll play a pivotal role in building and scaling the data infrastructure that powers everything from real-time fraud detection to personalized financial insights. Key Responsibilities: Design, build, and maintain scalable data pipelines (batch & streaming) Work with Data Scientists and Analysts to enable fast, reliable access to data Optimize our data architecture for performance, reliability, and cost Collaborate with engineers to integrate data best practices across teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is a plus Benefits: Join a collaborative, mission-driven team at the cutting edge of finance Hybrid working, flexible hours, and generous learning budget Fast career progression, real impact from day one Location: London (Hybrid) Salary: £70-90k Benefits Contract: Full-time, Permanent