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