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Financial Conduct Authority

Markets Data Engineer

Financial Conduct Authority

Data Engineer role focusing on transforming trading data into model-ready datasets. Responsible for building dashboards and supporting regulatory teams with data analysis.

Posted 6/17/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 £53,000 - £76,000 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftPandasPySparkPythonSQLTableau

About the role

Key responsibilities & impact
  • Leverage high performance pipelines of trading and position data, transforming millions of daily records into model‑ready datasets for risk and market analysis
  • Build interactive dashboards and web apps, turning unique regulatory markets data into system-wide views across fixed income, commodities, FX and equities helping stakeholders build a detailed understanding firm and sector risks through flow and exposure data
  • Be part of the analysis on diverse and stimulating issues, empowering market abuse, policy and supervisory teams to make informed, timely decisions whilst gaining exposure to a broad range of markets and financial products
  • Opportunity to be involved in shaping how data are harnessed to monitor and supervise firms and markets

Requirements

What you’ll need
  • Demonstrable experience of analysing, joining, validating commercial and regulatory data as well as visualisation (Tableau)
  • Proficiency with data analytics tools and libraries (Pandas, PySpark, etc) as demonstrated in prior job roles
  • Demonstrable data science or engineering experience within a financial markets context, using SQL (Redshift) and Python
  • Understanding of financial markets
  • Experienced in developing user-friendly analytical products, e.g self-service tools, or web applications

Benefits

Comp & perks
  • 25 days annual leave plus bank holidays
  • Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
  • Private healthcare with Bupa
  • Income protection and 24/7 Employee Assistance
  • 35 hours of paid volunteering annually
  • Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders).
  • Flexible benefits scheme designed around your lifestyle

ATS Keywords

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Hard Skills & Tools
data analysisdata validationdata visualizationdata sciencedata engineeringSQLPythonPandasPySparkTableau
Soft Skills
analytical thinkingproblem-solvingcommunicationcollaborationdecision-making