Data Engineer | Dynamic Tier 1 Investment Management Firm
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!
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