Job Title

Company: Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description.My client are a fast-growing fintech transforming how people manage and move money. As a Data Engineer, youll 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 dataOptimize our data architecture for performance, reliability, and costCollaborate with engineers to integrate data best practices across teamsChampion data quality, governance, and documentationKey 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 systemsPrevious experience in a fintech or regulated environment is a plusBenefits:Join a collaborative, mission-driven team at the cutting edge of financeHybrid working, flexible hours, and generous learning budgetFast career progression, real impact from day oneLocation: London (Hybrid)Salary: 70-90k + Benefits Contract: Full-time, Permanent