Data Engineer
Data Engineer (Palantir, AI & Advanced Analytics)
London | Permanent | Hybrid Working
Our client is a fast‐growing technology and AI consultancy that helps organisations solve complex data challenges across government and enterprise environments. The firm specialises in delivering Palantir‐led data platforms and decision‐intelligence solutions, supporting clients to unify fragmented data, build operational workflows, and enable informed decision‐making in mission‐critical settings.
As a Data Engineer, you will work at the intersection of software engineering, analytics, and AI‐enabled consulting. This is a hands‐on role where you’ll design and build solutions using Palantir technologies, develop scalable data pipelines and workflows, and support advanced analytics and AI use cases deployed in real‐world operations.
The team is growing across multiple levels, from Junior through to Senior Manager, offering clear pathways for both technical growth and leadership development.
You’ll have the opportunity to:
- Design and deliver data‐driven solutions to complex client challenges
- Build and maintain scalable data pipelines and ETL processes
- Engineer data workflows and decision‐support tools on Palantir platforms
- Work on applied AI and machine‐learning use cases
- Deliver Palantir implementation and advisory work across enterprise clients
- Combine software engineering expertise with strategic problem‐solving
- Work directly with clients across government, defence, health, and commercial sectors
- Share knowledge and contribute to capability development across the engineering community
Your Responsibilities
As a Data Engineer, you will:
- Translate complex client problems into effective Palantir‐based data solutions
- Build, configure, and maintain data pipelines and operational workflows
- Integrate, transform, and structure data for analytics and AI consumption
- Apply strong software engineering practices to deliver reliable, maintainable solutions
- Configure and extend Palantir platforms (e.g. Foundry, Gotham) to support operational and analytical use cases
- Collaborate with colleagues on analytics, AI, and machine‐learning initiatives
- Mentor junior engineers and contribute to engineering best practice
- Build trusted client relationships and support long‐term transformation outcomes
Key Requirements
As a Data Engineer, you should have:
- Strong experience with Python, SQL, and TypeScript
- Proven experience working with Palantir technologies (e.g. Foundry, Gotham) in delivery environments
- Solid understanding of data engineering concepts, ETL pipelines, and workflow design
- Experience delivering analytics‐driven or data‐intensive platforms
- Interest in AI, machine learning, and advanced analytics
- Excellent problem‐solving and communication skills
- Ability to work effectively in collaborative, client‐facing environments
- Active UK Government Security Clearance (SC) and the ability to operate on secure client engagements
You will gain exposure with:
Working as a Data Engineer, you will gain exposure to:
- Advanced Palantir implementations across complex organisations
- Decision‐intelligence and operational analytics at enterprise scale
- AI‐enabled data solutions deployed in real‐world, regulated environments
- Client‐facing delivery on mission‐critical programmes
- Engineering‐led consulting and strategic problem‐solving
You’ll operate in an environment that combines:
- Hands‐on software and data engineering
- Palantir‐centred analytics and AI capability
- Consulting delivery with measurable real‐world impact
Why Join?
- Specialise in Palantir‐led data and decision‐intelligence delivery
- Work on high‐impact, mission‐critical programmes
- Build deep technical expertise alongside consulting capability
- Progress your career across technical and leadership tracks
- Thrive in a collaborative, ambitious, engineering‐led culture
Interested? Apply now.