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| Job Location | London |
| Education | Not Mentioned |
| Salary | Competitive salary |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
We are currently working with a leading Asset Manager, who are looking to expand their Investment Data Science team by bringing in a Data Engineer. This is very much a cross asset team which sits within the investment function of the business, where you will be responsible for analysing and extracting large structured and unstructured datasets to provide clients with key investment insights. Additionally, to this designing building, and maintaining data structures, databases, and data processing pipelines to support data science projects, as well as building web scrapers, APIs and dashboards. To apply you should have: • Excellent experience coding in Python to create web scrapers, ETL processes and data analysis pre-processes. • Efficient with the Azure technology stack - Azure Data Factory, Containers, Azure Functions, etc. • Strong SQL skills and experience working with both relational (Microsoft SQL Server) and non-relational databases. • Any experience with Snowflake and/or Dataiku would be a massive plus. This is an excellent opportunity to join a Multi-Billion-dollar alternative investment fund within a team which has doubled in size in the last 2 years. This role will give you the opportunity to take ownership of the data engineering technology stack and all related processes and procedures, where you will be reporting directly into the Head of Data Science To apply please contact