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WeDoTech · Bunhill, United Kingdom · £? - ? per year
Salary: £? - ? per year Requirements: Deep hands-on expertise in Python, PySpark, and Apache Spark Strong AWS data engineering experience, particularly with AWS Glue Strong Apache Airflow experience Experience delivering complex data transformation or modernisation programmes Strong software engineering fundamentals Experience operating at Staff, Principal, or Senior Lead Engineer level Ability to independently challenge existing thinking and shape technical solutions Genuine desire to remain hands-on with code Experience incorporating AI-assisted development tools into engineering workflows Snowflake experience is beneficial Responsibilities: Provide Staff-level technical leadership across complex data engineering initiatives Remain deeply hands-on with Python, PySpark, and Spark Modernise and migrate large-scale data pipelines across AWS Design and challenge approaches involving AWS Glue, Airflow, and associated technologies Shape scalable data architectures, frameworks, and engineering patterns Support the development of new data products and reusable capabilities Champion AI-assisted development to improve engineering quality and delivery speed Raise engineering standards and capability across multiple teams Help shape technical strategy while building and proving solutions in code Technologies: AI Airflow AWS AWS Glue Support Python PySpark Snowflake Spark Cloud More: Were supporting a major UK financial services organisation through a significant data engineering modernisation and transformation programme. This Staff-level contract role involves modernising the organisations data estate, transforming and migrating large-scale pipelines, developing new data products, and adopting modern AI-assisted engineering practices. It is a hybrid position based in London, with three days per week on-site. The initial contract is six months, with a rate of up to £1,300 per day, inside IR35. last updated 43 week of 2026