At a Glance
- Tasks: Lead a high-performing team to design and deliver a cutting-edge market data platform.
- Company: Join a leading global commodities trading organisation with a dynamic culture.
- Benefits: Competitive salary, career growth, and the chance to work with top-tier professionals.
- Other info: Collaborate with Quant, Trading, and Risk teams for impactful projects.
- Why this job: Shape the future of market data services in a fast-paced trading environment.
- Qualifications: Strong leadership in Market Data Engineering and expertise in data platforms required.
The predicted salary is between 80000 - 100000 £ per year.
I’m currently working with a leading global commodities trading organisation that is looking to hire an experienced Market Data Engineering Team Lead to drive the strategy, architecture, and delivery of its enterprise market data platform.
This is an excellent opportunity for someone who combines strong technical leadership with hands‑on engineering expertise and a deep understanding of market data platforms.
You’ll play a key role in shaping the future of market data services, working closely with Trading, Risk, Quant and Technology teams to build scalable, high-performance data solutions that support critical business functions.
- What you’ll be doing
- Lead and mentor a high‑performing Market Data Engineering team while remaining technically involved in architecture and key engineering decisions.
- Define and execute the market data engineering strategy and technology roadmap.
- Design and deliver a modern market data platform supporting both real‑time streaming and batch data processing.
- Drive the development of a unified market data model to simplify vendor integrations and improve downstream data consumption.
- Own the operational stability of the market data platform, including BAU support, incident management and continuous improvement.
- Manage integrations between market data platforms, ETRM systems and downstream trading and risk applications.
- Partner with Quant Engineering, Trading and Risk teams to ensure market data supports pricing, analytics, valuation and risk models.
- Act as the senior technical authority for market data architecture and engineering across the business.
- What we’re looking for
- Strong experience leading Market Data Engineering or Data Platform teams.
- Proven experience designing and delivering enterprise market data platforms.
- Deep understanding of market data ingestion, transformation and distribution across streaming and batch architectures.
- Experience building scalable, resilient and high‑performance data pipelines.
- Strong Python and data engineering background with the ability to guide engineering standards and review technical designs.
- Hands‑on experience managing platforms such as Zema and integrating them with ETRM systems.
- Strong knowledge of data quality, ETL/ELT processes and operational support models.
- Experience working with Quant, Trading and Risk teams.
- Previous experience within commodities trading, energy trading or financial services is highly desirable.
This is an opportunity to lead the evolution of a business-critical market data platform, influence enterprise architecture, and work alongside highly skilled engineering and quantitative teams within a fast‑paced trading environment.
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Market Data Manager in London employer: Harrington Starr
Join a leading high-volume futures trading organisation in London, where you will play a pivotal role in ensuring the stability of critical trading and clearing platforms. With a strong focus on employee growth and a collaborative work culture, this company offers competitive daily rates and long-term contract opportunities, making it an excellent employer for those seeking meaningful and rewarding careers in the capital markets sector.
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We think this is how you could land Market Data Manager in London
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We think you need these skills to ace Market Data Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
