Job Description

My client, a technology driven hedge fund, is seeking an experienced Data Engineer to join their Quant Investment team in London.

As part of this high-performing, revenue-generating group, you’ll play a pivotal role in building and maintaining the data infrastructure that fuels cutting-edge quantitative research and trading. This will involve developing robust ETL/ELT pipelines, automating research deployment into live trading systems, and creating datasets and libraries that unlock both advanced modelling and LLM capabilities.

The ideal candidate will have strong proficiency in Python and SQL, and should bring excellent communication skills, meticulous attention to detail, and the ability to prioritise high-impact projects. Exposure to technologies such as Spark, Dask, Airflow (or similar orchestration tools), and cloud-based data warehouses (Databricks, Snowflake, Redshift, etc.) would be highly advantageous.

Prior experience working with financial ...

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