Palantir Forward Deployed Engineer; FDE
Listed on 2026-02-16
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IT/Tech
Data Engineer, Data Analyst
Join Our Data & AI Team
Do you want to work on meaningful problems, shape the future of data and AI, and accelerate your career with a team that values innovation, excellence, and diversity of thought? We are always on the look out for a diverse range of talent—from data scientists and engineers to architects and subject matter experts—to help transform how organisations harness data and next‑gen technologies.
You'll be joining a high‑growth consulting environment backed by the strength of a global leader with over 300,000 employees worldwide. Our dynamic, cross‑functional teams work at the cutting edge of data strategy, engineering, analytics, and Generative AI to solve real‑world business problems across industries.
About the TeamOur Data & Analytics practice sits at the heart of digital transformation. We advise and deliver across the data lifecycle—from advisory to implementation—helping clients build modern data ecosystems, unlock value from AI, and scale responsibly.
We work across four key pillars:
- Data Strategy & Governance
- Data Engineering & Architecture
- Analytics & Decision Intelligence
- AI & Generative AI Innovation
We are looking for a dynamic and technically strong Palantir Forward Deployed Engineer (FDE) to lead the full lifecycle of data‑driven solution development—from strategic planning and stakeholder engagement to hands‑on implementation and scaling. As an FDE, you will work directly with clients and internal teams to understand complex business challenges, architect impactful solutions using Palantir Foundry, and drive adoption across organizations.
This role blends engineering, product thinking, and strategic consulting, making it ideal for professionals who thrive at the intersection of technology and business.
Key Responsibilities- End‑to‑end solution ownership: requirement gathering, planning, prototyping, development, deployment, and scaling.
- Stakeholder engagement & planning: collaborate with business leaders, analysts, and technical teams to define problem statements, success metrics, and solution roadmaps.
- Data integration & modelling: ingest and transform data from diverse sources (APIs, databases, flat files, streaming systems) into structured formats using Palantir Foundry tools and custom code.
- Ontology & application design: create and manage Ontology Objects, Links, and Actions to support downstream applications and workflows.
- Pipeline development & automation: build scalable, fault‑tolerant ETL/ELT pipelines using PySpark, SQL, and Foundry’s proprietary tools like Pipeline Builder and Code Workbook.
- Productization & scaling: turn prototypes into production‑grade solutions and drive adoption across teams and geographies.
- Governance & compliance: implement data validation, monitoring, and documentation to ensure integrity, traceability, and compliance with privacy and security standards.
- Cross‑functional collaboration: work with deployment strategists, software engineers, and product designers to shape how data is used across decision‑making workflows.
Skills & Qualifications
- Strong programming skills in Python, SQL, and optionally Java/Scala.
- Hands‑on experience with Palantir Foundry tools, including Code Repositories, Pipeline Builder, Code Workbook, Ontology Management, Contour, Solution Designer, Data Lineage, Data Health, Data Connections, and Egress Policies.
- Experience in end‑to‑end solution development, from planning to scaling.
- Strong understanding of data architecture, including data lakes, warehousing, schema design, and performance optimization.
- Excellent communication and stakeholder management skills.
- Ability to work in fast‑paced, ambiguous environments and learn new tools quickly.
- Experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes).
- Prior experience with Palantir Foundry or similar platforms.
- Domain experience in Oil & Gas, Finance, Healthcare, Logistics, Aerospace or Defence.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Be part of a bold, growing team shaping the future of data and AI.
- Work with some of the…
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