Data Engineer
Applications sent via social media or email will not be accepted.
Job title: Senior Data Engineer – 7-Month Fixed-Term Contract Division: Data, Technology and Innovation Department: Consumer Intelligence & Analytics
Salary: National (Edinburgh and Leeds) ranging from £53,800 to £62,700 and London from £59,200 to £69,000 per annum (salary offered will be based on skills and experience)
This role is graded as: Senior Associate - Regulatory
Your external recruitment contact is Benjamin via benjamin.paulon@fca.org.uk
Your internal recruitment contact is Pat via Patrycja.Matachowska@fca.org.uk
Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted.
About the FCA and team
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
Skills required
Minimum:
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
Benefits
Posted July 24, 2026