We are on the lookout for a talented Data Engineer to join a high performing fund in London, responsible for building and maintaining a state-of-the-art data platform for portfolio managers and quants. This role is crucial in developing the core components that will support our team for years to come.

Key Responsibilities:

• Develop and enhance a modern data platform and data-intensive applications, including ingestion, ETL, data quality, storage, and APIs.
• Collaborate with quantitative engineers and researchers to meet business requirements.
• Work towards a balance of feasibility, stability, scalability, and time-to-market for solutions
• Work within a global team to deliver scalable, stable, and timely solutions.

What We're Looking For:

• Over 5 years of experience in data engineering or a similar role.
• Strong expertise in SQL and relational databases.
• Proficiency in Python and data-manipulation libraries/frameworks (e.g., Pandas, Polars, Dask, Vaex, PySpark).
• Excellent debugging skills and problem-solving abilities.
• Experience with financial instruments/software in areas such as research, risk management, portfolio management, etc.
• Knowledge of distributed data components (e.g., Kafka, Redis).
• Experience in building data platforms/ETLs, including batch and streaming, and data lake/warehouse/lakehouse patterns.
• Familiarity with column-oriented data storage and serialisation formats (e.g., Parquet/Arrow).
• Skills in code optimisation and performance tuning.
• Strong communication skills.

Beneficial to have:

• Familiarity with tools like Prometheus, Grafana, Sentry for monitoring and tracing.
• Familiarity with ClickHouse, Snowflake, or KDB.

Ready to make an impact in the world of data engineering? Apply now and join our forward-thinking team!