Foundry Data Engineer — Enterprise AI Leader

Infosys Consulting

Greater London

On-site

GBP 110,000 - 160,000

Full time

36 hours ago
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Job summary

Infosys Consulting in London is seeking a Consultant - Palantir Engineer to lead end-to-end Palantir Foundry-based data solutions in complex client environments. You will combine engineering, data, and consulting to translate problems into scalable, production-ready solutions.

You will design data pipelines, model data with Foundry Ontology, and collaborate with stakeholders to define requirements, success metrics, and roadmaps while ensuring data quality, governance, and performance.

Qualifications

  • Proven experience as a Senior Consultant or Principal Consultant in data, analytics, or platform engineering.
  • Client-facing data solutions delivery experience in complex environments.
  • Ability to work independently in ambiguous problem spaces.

Responsibilities

  • Own end-to-end delivery of Palantir Foundry-based solutions from problem definition to production.
  • Design and implement data pipelines and transformations across diverse sources.
  • Model data using Foundry Ontology concepts to support analytics and operations.
  • Build scalable, reliable solutions using Python, SQL, and PySpark within Foundry.
  • Collaborate with business stakeholders to define requirements and roadmaps.
  • Support prototyping, productionisation, and scaling of data-driven apps.
  • Ensure data quality, governance, security, and performance; advise project teams.

Skills

Python
SQL
PySpark

Education

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or equivalent

Tools

Palantir Foundry
Pipeline Builder
Code Workbook
Docker
Kubernetes

Job description

Infosys Consulting in London is seeking a Consultant - Palantir Engineer to lead end-to-end Palantir Foundry-based data solutions in complex client environments. You will combine engineering, data, and consulting to translate problems into scalable, production-ready solutions.

You will design data pipelines, model data with Foundry Ontology, and collaborate with stakeholders to define requirements, success metrics, and roadmaps while ensuring data quality, governance, and performance.

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