Data engineer

Backend / Data Engineer — Pipeline & Data Architecture

We are engaging senior Data Engineer to be designing and building the data pipelines and structures that underpin an AI delivery engagement for one of our clients - a global leading strategy-led Tech consultancy for their technology build unit.

The platform is Palantir Foundry — your pipelines will feed directly into the AI layer, so data quality and modelling decisions have real downstream consequences.

• Designing and building data pipelines using Palantir Foundry Transforms (Python/SQL)
• Modelling data in Foundry's ontology layer — object types, relationships, properties
• Integrating data from external sources via APIs or file-based ingestion
• Ensuring pipeline reliability, data quality, and lineage visibility
• Working in close coordination with the AI Engineer so data outputs are structured for LLM consumption

• Solid data pipeline architecture experience — you've designed and owned pipelines in production, not just maintained them
• Python and/or SQL at a professional standard
• Palantir Foundry experience is strongly preferred — particularly Transforms and ontology design
• Data engineers from adjacent platforms (Databricks, dbt, Spark) who have Foundry exposure or genuine appetite to get up to speed quickly will be considered
• Understanding of how structured data feeds into AI/LLM pipelines is a plus