This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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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.
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!
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Investment Management
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