Our client, a fast-growing multi-strategy hedge fund, is looking for a Lead Data Engineer in London to help build and scale the data platforms that underpin research, analytics, applications, and investment decision-making across the firm. Working within a highly collaborative data engineering team, you'll partner directly with Quant Researchers, Portfolio Managers, Analysts, and technology teams to deliver cloud-first data solutions, shape technical standards, and play a key role in the evolution of a next-generation data platform. This is a hands-on leadership position offering significant influence over architecture, engineering direction, mentoring, and future team growth.
Responsibilities
- Lead the design and delivery of scalable data pipelines, platform services, and analytics-ready datasets
- Architect cloud-native solutions supporting market, alternative, structured, and unstructured data
- Drive improvements across data quality, observability, monitoring, and operational resilience
- Partner with investment and research teams to deliver high-impact data products
- Mentor engineers and influence engineering standards, best practices, and technical direction
Requirements
- Strong commercial experience with Python and SQL in large-scale production environments
- Expertise building modern data platforms using Snowflake or similar cloud data warehouse technologies
- Hands-on experience with AWS and cloud-native data architecture
- Experience with workflow orchestration tools such as Airflow
- Proven track record leading complex technical projects and influencing architecture decisions
Why Apply?
This is an opportunity to join one of the most ambitious investment platforms in the market, working on business-critical data infrastructure that directly impacts investment outcomes. You'll have significant ownership, exposure to senior stakeholders, and the chance to help shape the future of a rapidly expanding data engineering function.
Interested? Apply now or get in touch for a confidential discussion.
