At a Glance
- Tasks: Lead a high-performing team to design and evolve market data platforms.
- Company: Join a leading global commodities organisation with a strong focus on innovation.
- Benefits: Competitive salary, career growth, and the chance to shape market data architecture.
- Other info: Opportunity to work with cutting-edge technology in a collaborative environment.
- Why this job: Make a real impact in a strategic leadership role within a dynamic industry.
- Qualifications: Extensive experience in market data platforms and strong Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
- Market Data Engineering Team Lead Market Data | Zema | Python | Data Engineering | ETL/ELT
- A leading global commodities organisation is looking for a
Market Data Engineering Team Lead to own and evolve its enterprise market data platform.
This is a strategic leadership role with a strong technical focus, responsible for shaping the market data architecture while leading a high-performing engineering team.
You’ll drive the design and delivery of scalable market data solutions, ensuring reliable ingestion, normalisation and distribution of data across Trading, Risk, Quant and enterprise systems.
Alongside defining the long-term roadmap, you’ll also oversee the operational stability of the platform and remain hands-on enough to guide architecture and solve complex technical challenges.
Key Responsibilities
- Lead and mentor the Market Data Engineering team, providing technical leadership and strategic direction.
- Define and deliver the market data engineering roadmap and target architecture.
- Design and evolve enterprise market data platforms supporting both batch and Real Time processing.
- Own the market data platform, ensuring operational stability, BAU support and incident management.
- Manage integrations between market data platforms and ETRM systems.
- Partner with Trading, Risk, Quant and Technology teams to deliver high-quality data services.
- Establish engineering standards, data models and best practices across the platform.
- Drive improvements to scalability, resilience, performance and cost efficiency.
- Act as the senior SME for market data architecture and engineering.
- Required Skills & Experience
- Extensive experience building and leading enterprise market data platforms.
- Strong knowledge of market data ingestion, transformation and distribution.
- Experience with
Zema or similar market data platforms.
- Strong understanding of
Python and modern data engineering practices.
- Experience designing
Real Time streaming and batch data pipelines.
- Knowledge of
ETL/ELT , data quality frameworks and operational support models.
- Experience integrating market data into
ETRM platforms.
- Strong understanding of data services supporting
- Trading ,
- Risk and
Quant functions.
- Experience designing enterprise or unified data models.
- Proven technical leadership and stakeholder management skills.
- Background within commodities trading or financial services is highly desirable.
This is an excellent opportunity to join a globally recognised trading organisation and play a key role in defining the future of its market data capability.
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Market Data Engineering Team Lead Market Data | Zema | Python | Data Engineering | ETL/ELT employer: Scope AT Limited
Scope AT Limited is an exceptional employer, offering a dynamic work environment in the heart of Glasgow's financial district. With a strong focus on employee development and a collaborative culture, team members are encouraged to grow their skills while working on innovative projects in equity swaps. The company also provides competitive benefits and a supportive atmosphere that values work-life balance, making it an ideal place for those seeking meaningful and rewarding careers in the financial services sector.
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We think you need these skills to ace Market Data Engineering Team Lead Market Data | Zema | Python | Data Engineering | ETL/ELT
Some tips for your application 🫡
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Scope AT Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
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.
