Junior Data Engineer – Financial Services – £35-40k - London
Overview: We are currently partnered with a market-leading financial services organisation who are seeking a Junior Data Engineer to join their growing London team. The team currently operates around 60 Python pipelines, drawing from a mix of on-prem SQLite and Azure SQL Data Warehouse, which feed into Power BI dashboards and published reports. Over the next 12 months, they are undertaking a major transformation where they will be containerising workflows, migrating to cloud-based data systems, and introducing orchestration tools like Prefect. This role will be a hands-on opportunity to contribute to the design and build of a next-generation data platform, while playing a key role in shaping a new, centralised data engineering function.
Role & Responsibilities:
Support the redesign of their data stack, including containerising workflows, migrating to cloud SQL, and introducing tools like Prefect.
Maintain and optimise ~60 Python pipelines, refactoring legacy code into modular components.
Keep Power BI dashboards accurate and up to date, supporting evolving business needs.
Help implement validation and anomaly detection within their pipelines to ensure data integrity.
Manage Git workflows and assist in setting up lightweight deployment pipelines.
Maintain clear, up-to-date records of code, processes, and workflows.
Occasionally assist the research desk with Python-based analysis and data visualisation.
Skills & Experience: Essentials:
BSc in Computer Science or a related discipline
Solid Python programming skills
Good working knowledge of SQL
Comfortable using Git for version control
Desirables:
Exposure to workflow orchestration tools (e.g. Prefect, Airflow, Dagster)
Experience with cloud data warehouses (Azure SQL, Snowflake) or dbt
Basic familiarity with Docker and BI tools (Power BI, Tableau)
Interest in shipping, financial markets, or commodities
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