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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, focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by working with cutting-edge data technologies.
- Qualifications: Experience with Palantir Foundry, SQL, Python, and data engineering best practices.
- Other info: Collaborative environment with a focus on compliance and operational excellence.
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
- Data Engineering & Pipeline Development: 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.
- Data Quality, Lineage & Governance: 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.
- Collaboration & Domain Enablement: Work closely with internal NHS data engineers and SMEs. Collaborate with Foundry Architects and Data Architects. Engage 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, incident investigation, root cause analysis. Respond to small change requests (schema changes, source upgrades, data corrections). Contribute to runbooks and operational documentation.
Essential Skills & Experience
- Hands‑on experience with Palantir Foundry (or FDP) in a delivery role.
- Strong understanding of Foundry concepts: pipelines, datasets, transforms, permissions and access control.
- Strong SQL skills.
- Experience with Python and/or PySpark for data transformation.
- Solid understanding of data engineering patterns (ETL/ELT, batch, incremental loads).
- Experience implementing data quality checks and validation logic.
- Understanding of lineage, auditability, and operational controls in regulated environments.
- Experience working in complex, multi‑stakeholder programmes.
- Comfortable operating during platform transition and change.
Desirable Skills & Experience
- 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: VE3
Contact Detail:
VE3 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 current or former employees at Palantir or in the NHS. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with data pipelines and transformations. This hands-on evidence can set you apart from other candidates.
✨Tip Number 3
Ace the interview by being ready to discuss real-world scenarios. Think about how you've tackled data quality issues or collaborated with stakeholders in past roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
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 hands-on experience with Palantir Foundry and any relevant projects you've worked on. We want to see how your skills match up with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've implemented data quality checks or built pipelines. This helps us understand your practical experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication, especially in a technical field like data engineering.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Don’t miss out!
How to prepare for a job interview at VE3
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around pipelines and transformations. Be ready to discuss how you've built and maintained data pipelines in the past, particularly using SQL and PySpark, as these are key skills for the role.
✨Familiarise Yourself with Palantir Foundry
Since this role specifically involves Palantir Foundry, it’s crucial to understand its concepts like datasets, transforms, and permissions. If you’ve worked with Foundry before, prepare examples of how you’ve used it to deliver data products or manage data quality.
✨Understand Compliance and Governance
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 instances where you implemented data quality checks or managed lineage and auditability.
✨Show Your Collaborative Spirit
This role requires working closely with various stakeholders, so be ready to share examples of how you've collaborated with data engineers, architects, and clinical SMEs. Emphasise your ability to translate complex requirements into actionable tasks and your experience in multi-stakeholder programmes.
