Senior Data Engineer

We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services.

The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency.

Sitting within the Digital Intelligence Solutions (DIS) department, the Consumer Intelligence & Analytics (CI&A) develop and maintain online listening tools to surface consumer insights through dashboards and bespoke products.

Role Responsibilities

• Coordinate our sprints as a developer within the Consumer Intelligence Scrum Team, building and maintaining data products using Python, Tableau, and SQL
• Analyse diverse consumer data sources to identify key themes, emerging risks, and early warning signals
• Create the development of impactful Tableau dashboards that translate data into clear, actionable insights
• Collaborate across the FCA to understand stakeholder needs and deliver relevant, high‑value consumer intelligence
• Promote data-driven thinking by sharing insights and continuously improving how the team uses data and tools
  

Minimum

Skills required

• Established experience using Python for data engineering (automation) and analysis.
• Prior experience using data visualisation tools (e.g. Tableau).
• Prior experience analysing quantitative and qualitative data and presenting clear, engaging insights in both written and verbal formats
  

Essential

• Experience using social listening tools to uncover consumer sentiment and emerging trends
• Demonstrated skills in engaging stakeholders to understand needs, ideate solutions, and support decision-making
• Ability to simplify complex ideas and support practical, sustainable solutions
• Well organized and consistent, with experience meeting commitments and using tools such as JIRA
• Curiosity about consumer behaviour, with attention to patterns, risks, and opportunities in data