• A degree in Computer Science, Engineering, Mathematics, Statistics or another relevant technical discipline.
• At least three years’ experience building and operating production data pipelines and datasets.
• Strong hands-on experience with AWS, including IAM.
• Strong Python and SQL skills, with the ability to write clean, structured and tested code.
• Experience with infrastructure as code and agentic coding tools, including reviewing and verifying their output.
• Strong analytical and problem-solving skills, intellectual curiosity and a consulting mindset.
• A proactive, organised and versatile approach, with enthusiasm for BI, analysis and data science alongside engineering.
• Comfortable working through problems where requirements are not fully defined.
• Desirable to have experience or a willingness to learn in the following areas
• Dash, FastAPI or similar frameworks for dashboards, reporting and data applications.
• LLMs, including agents, tool use, retrieval or MCP.
• AI-friendly data architectures, including machine-readable data contracts, catalogues and metadata.
• Spark or PySpark.