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Data Engineer
Shawbrook
London, GBR
Full-time
Entry
Hybrid
Discovered 1 weeks ago
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Key Responsibilities
- Partner with Finance users to rethink how the function works, identifying opportunities for process optimisation, workflow automation and AI/ML-driven insight that improve efficiency, decision-making and business outcomes.
- Design, build and maintain Python-based tools, scripts and data pipelines that automate recurring finance processes such as month-end reporting, reconciliations, data preparation and control checks.
- Develop analytical models, dashboards and self-service tools that turn finance data into actionable insight for FP&A, Financial Control and the wider Finance function.
- Apply machine learning and AI techniques (e.g. forecasting, anomaly detection, classification, document and text automation) to relevant finance use cases, using established Python libraries and frameworks.
- Work closely with the CTO Data Engineering team on architecture, platform functionality and data availability, ensuring Finance gets the best out of the Bank's data platform and that the right data pipelines are in place; design and build data pipelines directly where needed to support Finance use cases.
- Apply strong software engineering standards, including version control (Git), code review, testing, documentation and CI/CD, to ensure solutions are reliable, scalable and maintainable.
- Ensure all solutions meet the Bank's data governance, security, change management and regulatory control requirements, working closely with Technology, Data and Risk teams.
- Coach and upskill Finance colleagues on Python, data tooling and automation good practice, helping to embed a self-service, insight-led culture across the function.
- Use AI tools (e.g. Claude, LLMs, MCP servers and agentic frameworks) to work smart day-to-day, and integrate AI capabilities into Python solutions and the Bank's Web App / Azure environment to deliver intelligent automation and insight at scale.
- Deploy and operate Python solutions on the Bank's Microsoft Azure platform end-to-end, including CI/CD pipelines, configuration and secrets management, monitoring and logging (e.g. Application Insights), and adherence to Azure security and identity standards
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