Palantir Foundry Data Engineer in London

Palantir Foundry Data Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Mastek

At a Glance

  • Tasks: Design and optimise data pipelines using Palantir Foundry for impactful analytics solutions.
  • Company: Purpose-driven organisation focused on innovation and inclusion.
  • Benefits: Competitive salary, diverse culture, and opportunities for continuous growth.
  • Other info: We celebrate diversity and encourage applicants from all backgrounds.
  • Why this job: Join a team that values your unique perspective and drives meaningful change.
  • Qualifications: Experience with data engineering and proficiency in Python, SQL, and cloud environments.

The predicted salary is between 60000 - 80000 £ per year.

We are seeking a highly capable Data Engineer with hands-on experience in Palantir Foundry and/or Foundry Data Platform (FDP) to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate combines strong software engineering discipline with deep data architecture expertise and practical implementation experience within enterprise data platforms. This role will partner closely with data scientists, analysts, product teams, and business stakeholders to deliver production-grade data products that drive operational and strategic decision-making.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology, Workshop, etc.)
  • Implement data transformations, ETL/ELT workflows, and orchestration within Foundry/FDP environments
  • Develop modular, reusable data components following software engineering best practices
  • Build and maintain data products aligned to business use cases
  • Design robust data models and ontology structures within Foundry
  • Define and maintain semantic layers for business-facing analytics
  • Ensure data integrity, lineage, governance, and quality controls
  • Monitor and optimize pipeline performance, cost efficiency, and scalability
  • Implement testing, CI/CD practices, and deployment automation within the platform
  • Troubleshoot production issues and implement sustainable fixes
  • Partner with data scientists to productionize machine learning workflows
  • Translate business requirements into technical data solutions
  • Support dashboarding and operational applications via Foundry Workshop

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
  • 3+ years (Mid-level) or 5+ years (Senior) of data engineering experience
  • Hands-on experience with Palantir Foundry and/or Foundry Data Platform (FDP)
  • Strong proficiency in: Python, SQL, Spark (PySpark or SparkSQL)
  • Experience building production data pipelines in cloud environments (AWS, Azure, or GCP)
  • Understanding of data modeling, schema design, and metadata management
  • Familiarity with CI/CD and version-controlled development practices

Why Join Us?

We’re a purpose‑driven organisation committed to creating positive impact and championing inclusion. You’ll join a culture that encourages innovation, collaboration, and continuous growth. We celebrate difference and believe diverse perspectives lead to stronger solutions. Even if you don’t meet every requirement, we encourage you to apply — great talent comes from a variety of backgrounds. Your lived experience, unique strengths, and personal story matter — they help us design better outcomes for the communities we serve. We celebrate diversity of experience, knowledge, backgrounds, and perspectives, and believe these differences enable us to create meaningful impact. We are proud to be an equal opportunity employer and are committed to fairness and inclusion for all, regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital or partnership status, sexual orientation, gender identity, pregnancy or related conditions, or any other protected characteristic. If you require any reasonable adjustments or additional support during the recruitment process, please let us know.

Palantir Foundry Data Engineer in London employer: Mastek

Join a purpose-driven organisation that values innovation, collaboration, and continuous growth in the heart of a vibrant community. As a Data Engineer, you'll have the opportunity to work with cutting-edge technology like Palantir Foundry while contributing to meaningful projects that drive positive impact. Our inclusive culture celebrates diverse perspectives, ensuring that every employee can thrive and develop their skills in a supportive environment.

Mastek

Contact Details:

Mastek Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Palantir Foundry Data Engineer in London

Tip Number 1

Network like a pro! Reach out to folks in your industry, especially those who work with Palantir Foundry. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data pipelines and projects using Palantir Foundry. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges, especially in cloud environments like AWS or Azure.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who want to make a difference.

We think you need these skills to ace Palantir Foundry Data Engineer in London

Palantir Foundry
Foundry Data Platform (FDP)
Data Pipeline Development
ETL/ELT Workflows
Data Architecture
Data Modelling
Python

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Palantir Foundry and data engineering. Use keywords from the job description to show we’re on the same page about what you bring to the table.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how your skills align with our mission. Don’t forget to mention any relevant projects or experiences that showcase your expertise.

Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of data pipelines you've built, tools you've used, and any challenges you've overcome. This will help us understand your hands-on experience better.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!

How to prepare for a job interview at Mastek

Know Your Palantir Foundry Inside Out

Make sure you brush up on your Palantir Foundry knowledge. Familiarise yourself with its features, especially around data pipelines and ETL/ELT workflows. Being able to discuss specific projects or experiences where you've used Foundry will show your hands-on expertise.

Showcase Your Data Engineering Skills

Prepare to talk about your experience with Python, SQL, and Spark. Have examples ready that demonstrate how you've built scalable data solutions in cloud environments like AWS or Azure. This will help you stand out as a candidate who can hit the ground running.

Understand the Business Context

Research the company’s mission and values, and think about how your role as a Data Engineer fits into their broader goals. Be ready to discuss how your work can drive operational and strategic decision-making, showing that you’re not just a techie but also a business partner.

Prepare for Collaboration Questions

Since this role involves working closely with data scientists and product teams, be prepared to discuss your collaboration experiences. Think of examples where you translated business requirements into technical solutions, and how you’ve supported dashboarding and operational applications.