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- Tasks: Build secure data pipelines using Palantir Foundry and Python for defence intelligence.
- Company: Join a mission-critical data team in a dynamic environment.
- Benefits: Competitive day rate, flexible work arrangements, and opportunities for mentorship.
- Other info: Expect to thrive under pressure with excellent career growth opportunities.
- Why this job: Tackle challenging data problems and make an impact on high-level decision-making.
- Qualifications: 3+ years in Foundry, expert Python skills, and strong SQL proficiency required.
The predicted salary is between 50000 - 70000 £ per year.
Join our mission-critical data team supporting defence intelligence workflows. You’ll leverage Palantir Foundry and Python to build robust, secure data pipelines that power analytic apps for senior leadership and A-level decision-makers.
Day rate: £700/day Outside IR35 (negotiable dependent on experience)
Key Responsibilities
- Design, implement and maintain data ingestion pipelines into Foundry Ontology.
- Develop Python/PySpark transforms to clean, enrich, and aggregate high-volume datasets.
- Collaborate with InfoSec to enforce security policies: ACLs, encryption, audit trails.
- Integrate Foundry workflows with external CI/CD tools; maintain code quality via unit tests and peer reviews.
- Troubleshoot performance bottlenecks in Spark and optimize cluster configurations.
- Mentor junior engineers and drive best practices in code documentation and data governance.
Required Qualifications
- 3 + years’ experience in a Foundry heavy environment (coding Foundry Code Repositories).
- Expert-level Python skills, including PySpark and pandas.
- Strong SQL proficiency—able to tune complex queries at scale.
- Hands-on familiarity with AWS data services (S3, EMR, Glue).
- Active UK DV clearance.
- Excellent written and verbal communication; comfortable briefing non-technical stakeholders.
Desirable
- Experience with Terraform-managed Foundry deployments.
- Exposure to containerization (Docker/Kubernetes) and GitOps workflows.
- Knowledge of data science toolkits (scikit-learn, TensorFlow) or MLops patterns.
- Prior defence/intel sector background, understanding of STIGs and DISA compliance.
This role is not for the faint of heart - expect to own end-to-end data solutions under tight SLAs and stringent security regimes. If you can’t handle large-scale Python code, distributed compute, and heavy governance, keep scrolling. But if you thrive on solving hairy data problems in a secured environment, this role will let you cut your teeth on one of the most powerful analytics platforms out there.
Palantir Engineer in London employer: Frontier Resourcing
Contact Detail:
Frontier Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Palantir Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the defence and data sectors. Attend meetups or webinars related to Palantir and data engineering. You never know who might have a lead on a role that’s perfect for you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Python projects, especially those involving data pipelines or analytics. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Foundry, Python, and AWS services. Practise explaining complex concepts in simple terms, as you’ll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your relevant experience and show us why you’re the right fit for the role.
We think you need these skills to ace Palantir Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Palantir Engineer role. Highlight your experience with Foundry, Python, and any relevant data pipeline projects. We want to see how your skills match up with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've built data ingestion pipelines or worked with high-volume datasets. We love seeing real-world applications of your skills, so don’t hold back on the details!
Communicate Clearly: Since you'll be briefing non-technical stakeholders, make sure your written application is clear and concise. Use straightforward language to explain your technical expertise and how it relates to the role. We appreciate clarity!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Frontier Resourcing
✨Know Your Tech Inside Out
Make sure you’re well-versed in Palantir Foundry, Python, and PySpark. Brush up on your SQL skills too, as you'll likely be asked to tune complex queries. Being able to discuss your past experiences with these technologies will show that you’re not just familiar but truly proficient.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially around data ingestion pipelines or performance bottlenecks in Spark. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled those hairy data problems.
✨Communicate Clearly with Non-Techies
Since you’ll be briefing non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your excellent communication skills and your ability to bridge the gap between technical and non-technical teams.
✨Be Ready to Discuss Security Practices
Given the role's focus on security policies, brush up on your knowledge of ACLs, encryption, and audit trails. Be prepared to discuss how you’ve enforced security measures in past projects and how you would approach this in a defence intelligence context.