Build and operate internal data products, pipelines, and APIs for investment and research teams using Python, SQL, AWS, and Databricks. Collaborate directly with stakeholders to define requirements, ensure data integrity, and implement agentic AI workflows in engineering processes. Requires 3-5 years of experience in software or data engineering with strong Python/SQL skills and a hands-on approach to production systems.
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Job Description
Your Role & How we work
As our Engineer - Data & Platforms (m/f/d), you build and run the internal data products that our investment team, Quantitative Research and AI Engineering rely on every day: the pipelines, datasets, APIs and tools that turn a large and growing pool of financial and alternative data into something investors can act on. Our stack is Python, SQL, AWS, and Databricks.
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