Salary: £60,000 - 72,000 per year Requirements: Proven track record as a Data Engineer within banking or financial services (essential) Strong SQL and Python (or equivalent) development skills Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, Redshift, BigQuery) Cloud experience (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline design Experience supporting regulatory or risk-related data workflows Exposure to real-time/streaming technologies (e.g. Kafka) (desirable) Experience in large-scale data transformation or migration programmes (desirable) Familiarity with CI/CD, DataOps, or DevOps practices (desirable) Responsibilities: Design, build, and optimise scalable data pipelines and ETL/ELT processes Integrate and transform large volumes of financial data from multiple sources Work closely with stakeholders across technology, risk, and business teams Ensure high standards of data quality, governance, and compliance Contribute to data platform enhancements and cloud migration projects Troubleshoot and resolve data-related issues in a fast-paced environment Technologies: AWS Redshift Azure BigQuery CI/CD Cloud Databricks DevOps ETL GCP Support Kafka Python SQL Snowflake More: At Chapman Tate, we are looking for an experienced Contract Data Engineer with a strong background in banking or financial services to support a range of high-priority data initiatives. You will play a key role in delivering scalable data solutions, enabling regulatory reporting, and improving data architecture across our organization. This contract is for an initial duration of 6 months with a competitive day rate, and we offer a hybrid working environment in London. We are committed to fostering a collaborative team culture where your contributions will make a significant impact. last updated 18 week of 2026