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Graduate Data Engineer

United Kingdom, Marlow · Job Posted December 25, 2025
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Job Description

As a Graduate Data Engineer, you will build and maintain scalable data pipelines in Palantir Foundry for advanced reporting and analytics while collaborating with cross-functional teams as part of the BTS Data & Analytics team. You will work closely with key stakeholders in Engineering, Product, GTM, and other groups to help build scalable data solutions that support key metrics, reporting, and insights. You will assist in ensuring teams have access to reliable, accurate data as our company grows. You will have the opportunity to support projects that enable self-serve insights, helping teams make data-driven decisions, while learning from experienced team members and developing your technical and business skills.

Job Responsibility

  • Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets
  • Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams
  • Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions
  • Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus on Palantir Foundry workflows and tools
  • Participate in developing and refining dashboards and reports in Foundry to visualize key metrics and insights
  • Collaborate with Product, Engineering, and GTM teams to align data architecture and solutions, learning to support scalable, self-serve analytics across the organization
  • Have some prompt engineering experience with large language models, including writing and evaluating complex multi-step prompts
  • Continuously develop your understanding of the company's data landscape, including Palantir Foundry's ontology-driven approach and best practices for data management

Requirements

  • Degree in Computer Science, Engineering, Mathematics, or similar, or similar work experience
  • Up to 2 years of experience building data pipelines at work or through internships
  • Can write clear and reliable Python/PySpark code
  • Familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud)
  • Deep understanding of data models, relational and non-relational databases, and how they are used to organize, store, and retrieve data efficiently for analytics and machine learning
  • Knowledge about software engineering methods, including DevOps, DataOps, or MLOps is a plus
  • Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience
  • Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus
  • Have a proactive and adaptable mindset: willing to take initiative, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description
  • Show a strong ability to thrive in situations of ambiguity, taking initiative to create clarity for yourself and the team, and proactively driving progress even when details are uncertain or evolving
  • ILR/Citizenship required (No visa sponsorship)

Nice to have

  • Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics)
  • Experience with Generative AI (GenAI) and agentic systems
  • Knowledge about software engineering methods, including DevOps, DataOps, or MLOps

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