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Data Engineer (Palantir Foundry)

London
£85k – £95k/yr
Posted about 17 hours ago
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About the Company

We are working with a leading global data and AI consultancy that is looking to hire a Palantir Data Engineer to join a growing data transformation practice.


About the Role

This position would suit an experienced Data Engineer with strong expertise in Palantir Foundry, cloud-based data platforms, and modern data engineering practices. You will play a key role in designing and delivering scalable data solutions that support advanced analytics, AI initiatives, and business-critical decision-making. Working alongside architects, engineers, and business stakeholders, you will contribute to the delivery of enterprise-grade data products and transformation programmes.


Responsibilities

  • Design, develop and maintain scalable data pipelines and platforms.
  • Build and manage data ingestion, transformation and orchestration workflows within Palantir Foundry.
  • Create and optimise Foundry datasets, pipelines and applications.
  • Develop interactive applications using Foundry Workshop, Slate and custom front-end components.
  • Build integrations and applications using Python, PySpark and TypeScript.
  • Work closely with business and technical stakeholders to translate requirements into technical solutions.
  • Support AI-enabled use cases using Palantir AIP.
  • Implement data governance, quality, security and performance best practices.
  • Contribute to CI/CD processes and cloud-native deployments.
  • Deliver data engineering solutions within Agile delivery teams.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


Qualifications

  • 3+ years' experience in Data Engineering or Big Data environments.
  • 2+ years' commercial experience with Palantir Foundry.

Required Skills

  • Strong hands-on experience with:
    • Data ingestion and integration
    • Data transformations
    • Foundry datasets
    • Pipeline development
    • Foundry applications and Workshop
    • AIP Logics
    • Automate
  • Strong programming skills in:
    • Python
    • PySpark
    • TypeScript / JavaScript
  • Experience building custom applications within Foundry.
  • Experience with AWS services such as S3, Glue, Athena, Lambda and Redshift.
  • Experience delivering production-grade cloud data solutions.
  • Strong analytical and troubleshooting skills.
  • Hands-on experience with Palantir AIP and AI-enabled Foundry applications.

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Preferred Skills

  • Palantir Foundry certification.
  • Experience with Snowflake.
  • Knowledge of Docker, Kubernetes and CI/CD tooling.
  • Exposure to TensorFlow, PyTorch or other AI/ML frameworks.
  • Experience supporting large-scale digital transformation programmes.

Pay range and compensation package

  • Competitive base salary.
  • Annual bonus.
  • Private healthcare.
  • Pension contribution.
  • Income protection and life assurance.
  • Flexible hybrid working.
  • Ongoing learning and development opportunities.
  • Exposure to cutting-edge data and AI programmes within enterprise environments.
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Location

London, England, United Kingdom

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