Junior Data Engineer - Equities

A well-established equities brokerage is looking to add a Junior Data Engineer to its team, and Miller Maxwell has been exclusively retained to lead the search. If you're an early-career engineer keen to build hands-on data engineering skills inside a live trading environment, this role offers genuine exposure to real-world financial datasets and European equity market structure from day one.

Our client provides equities brokerage services across UK and European markets, combining a data-driven sales and execution function with a growing technology capability. Regulated by major financial authorities in the UK and EU, the firm has built its reputation on integrity, reliable performance, and a genuinely innovative approach to client service. It's a close-knit, ambitious environment where new ideas are welcomed and people are encouraged to make a real impact early in their careers.

Sitting within the execution consulting function, this role supports a team that turns market data into data-driven insights, product recommendations, and innovation for clients. You'll be helping to strengthen the data infrastructure behind that function, enabling the team to scale up the quality and speed of the analysis it delivers.

• Support the team's understanding of market microstructure across European equities
• Build and maintain systems that turn raw market data into insights the business and its clients can act on
• Spot opportunities across the team to automate manual or repetitive tasks
• Contribute to data pipelines and analytical frameworks that speed up how trade analytics gets delivered
• Make sure management has access to clean, reliable data to support key decisions

• Comfortable working with SQL and Python, whether from academic projects, personal builds, or professional experience
• A methodical mindset with strong attention to detail
• Genuine curiosity about financial markets, and an appetite to pick up market-specific knowledge on the job
• A good grasp of how data structures and pipelines work, and how information flows between systems
• Educated to degree level in a quantitative discipline (Computer Science, Maths, Engineering or similar), or up to a year of relevant work experience instead

• Comfortable working with large datasets, even if that experience comes from outside a formal job
• Some familiarity with a cloud platform - AWS, GCP, or Azure
• A genuine interest in trading, equity markets, or financial data more broadly
• Strong research, analytical, and communication skills
• Any hands-on exposure to tools like Airflow, dbt, or Spark, including through coursework or personal projects