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- Tasks: Design and build data pipelines using Palantir Foundry to transform and manage sensitive data.
- Company: Join a leading tech company in the NHS, making a real difference in healthcare.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering in a dynamic and impactful environment.
- Qualifications: Experience with data engineering, Python, and a passion for healthcare data.
- Other info: Work in a collaborative team with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The Foundry Engineer is responsible for designing, building, and operating data pipelines, transformations, and data products within Palantir Foundry / FDP. The role focuses on hands-on engineering, working closely with platform architects, data architects, and clinical SMEs to deliver reliable, auditable, and reusable data assets during a live platform transition. This role operates in a highly governed NHS environment, handling sensitive data and supporting both transformation delivery and operational continuity.
Key Responsibilities
- Build and maintain end-to-end Foundry pipelines, from raw ingestion to curated and semantic layers.
- Implement ingestion from multiple source systems (EPRs, operational systems, reference datasets).
- Develop transformations using Foundry pipelines, SQL, PySpark, and native Foundry tooling.
- Apply consistent patterns for incremental loads, reconciliation and validation.
- Support multi-tenant or multi-trust data separation where required.
- Implement data quality rules, validation checks, and exception handling.
- Ensure lineage, provenance, and auditability are embedded in pipelines.
- Support compliance with NHS DSPT, IG, and internal governance standards.
- Participate in DPIA-driven controls such as access restrictions, logging and traceability.
- Work closely with internal NHS data engineers and SMEs, Foundry Architects and Data Architects, clinical and operational stakeholders.
- Translate legacy ETL logic and undocumented business rules into modern, maintainable transformations.
- Contribute to canonical data model (CDM) and ontology implementation under architectural guidance.
Operational Support & Change
- Support service management activities for Foundry pipelines: monitoring, root cause analysis.
- Respond to small change requests (schema changes, source upgrades, data corrections).
- Contribute to runbooks and operational documentation.
Foundry / Platform
- Hands-on experience with Palantir Foundry (or FDP) in a delivery role.
- Strong understanding of Foundry concepts: datasets, transforms, permissions and access control.
- Experience with Python and/or PySpark for data transformation.
- Solid understanding of data engineering patterns (ETL/ELT, batch, incremental loads).
Governance & Quality
- Experience implementing data quality checks and validation logic.
- Understanding of lineage, auditability, and operational controls in regulated environments.
Delivery Environment
- Experience working in complex, multi-stakeholder programmes.
- Comfortable operating during platform transition and change.
- NHS or healthcare data experience (acute, ICB, or national datasets).
- Experience working with sensitive or PII data under strict IG controls.
- Familiarity with service management concepts (incident, change, release).
- Experience working alongside platform providers (e.g. Palantir, NHSE) and SIs.
Security & Compliance Requirements
- UK-based role.
- BPSS clearance (or eligible).
- Ability to work under NHS DSPT and DPIA-controlled environments.
Data Engineer – Palantir Foundry employer: Data Controller, VE Ltd
Contact Detail:
Data Controller, VE Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Palantir Foundry
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Palantir Foundry. Attend meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially any work with SQL, PySpark, or Palantir Foundry. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities, which can really set you apart.
✨Tip Number 3
Prepare for the interview like it’s game day! Research common interview questions for data engineers and practice your responses. Be ready to discuss your experience with data pipelines, transformations, and how you’ve handled sensitive data in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about data engineering. Make sure your application stands out by tailoring it to highlight your relevant experience and skills related to the role.
We think you need these skills to ace Data Engineer – Palantir Foundry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, transformations, and any hands-on work with Palantir Foundry. We want to see how your skills match what we're looking for!
Showcase Relevant Experience: When writing your application, focus on your experience in regulated environments like the NHS. Mention any specific projects where you handled sensitive data or worked with multi-stakeholder programmes. This will help us see your fit for the role.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant to the role. We appreciate straightforward communication that gets right to the heart of your experience.
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 gives you a chance to explore more about StudySmarter and what we do!
How to prepare for a job interview at Data Controller, VE Ltd
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around ETL/ELT processes and data transformation techniques. Be ready to discuss how you've implemented these in past projects, particularly using SQL and PySpark.
✨Familiarise Yourself with Palantir Foundry
Since the role specifically involves working with Palantir Foundry, it’s crucial to understand its concepts like datasets, transforms, and permissions. If you have hands-on experience, prepare to share specific examples of how you've used Foundry in your previous roles.
✨Understand Governance and Compliance
Given the sensitive nature of the data you'll be handling, be prepared to discuss your experience with data governance and compliance, especially within NHS environments. Highlight any specific frameworks or standards you've worked with, such as DSPT or DPIA.
✨Showcase Your Problem-Solving Skills
During the interview, expect to face scenario-based questions that test your problem-solving abilities. Think about challenges you've encountered in data pipeline management and how you resolved them, particularly in multi-stakeholder settings.
