Apex Systems
Data Engineer
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Palantir Data Engineer
Location: London, United Kingdom (Onsite)
Role Overview
We are seeking Data Engineers to join an established team focused on optimizing a mature Palantir Foundry environment. This role involves enhancing platform efficiency, improving reporting performance, and reducing compute costs. The position is a blend of data engineering, platform optimization, and FinOps, aimed at maximizing the value of an existing large-scale data platform that has been in place for approximately six years.
Key Responsibilities
- Optimize and mature an existing Palantir Foundry implementation, focusing on data modeling, partitioning strategies, and storage design.
- Improve reporting performance, data refresh times, and compute efficiency for middle-office teams reviewing daily P&L data.
- Develop and maintain data pipelines, ingesting data from multiple trading systems and other sources like CSV files.
- Identify and rectify platform inefficiencies to improve performance and reduce costs associated with large datasets, often ranging from tens of millions to billions of records.
- Apply software development best practices, including code sharing, CI/CD, and maintainable development, primarily using Python and SQL.
- Collaborate with a team of data engineers to support ongoing engineering needs, project work, and platform enhancements.
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Required Qualifications
Technical Skills:
- Proficiency in Python and SQL is required.
- Candidates must have strong object-oriented programming (OOP) and coding fundamentals.
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Experience:
- Experience in data engineering is required, specifically with large-scale data platforms and complex data pipelines.
- Candidates must have experience in the trading domain, with an understanding of concepts such as P&L reporting and exposure.
- Energy trading experience is preferred, but financial trading backgrounds are also acceptable.
Preferred Qualifications
- Experience with Palantir Foundry.
- Familiarity with Stonebranch.
- Experience with commodities or energy trading systems.
- Knowledge of data ingestion optimization and pipeline performance tuning.
- Experience supporting very large-scale data environments.
- Familiarity with other object-oriented languages such as Java or C#.
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