Senior Data Engineer - Foundry & Cloud Pipelines

Free-Work UK; Leeds; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

CGI is delivering large-scale data platforms using Palantir Foundry and cloud-native tooling. You will design and optimise enterprise data pipelines and data products, collaborating with clients to unlock efficiency and insight across critical programmes.

You will join multi-disciplinary teams, emphasising pragmatic ownership, strong technical craft, observability and reusable patterns to accelerate client roadmaps for modern data adoption.

Qualifications

• Strong commercial experience in data engineering and delivering production-grade data solutions.
• Experience with large datasets, distributed processing and data platforms engineering discipline.
• Foundry experience is desirable; strong Python/PySpark engineers who can learn Foundry quickly are encouraged to apply.

Responsibilities

• Design, build and optimise enterprise-scale data pipelines and data products that improve client operations and analytics.
• Work across Foundry and cloud ecosystems to translate stakeholder needs into production-grade solutions.
• Champion quality, observability and reusable engineering patterns in delivery teams.
• Collaborate with architects, product owners and analysts to shape roadmaps and deliver measurable outcomes.

Skills

Python

PySpark / Apache Spark

SQL

Data Modelling

Cloud Data Services

CI/CD for data platforms

Delivering scalable data pipelines

Client-facing delivery

Problem-solving

Palantir Foundry (Desirable)

Education

Bachelor's degree or equivalent in a relevant field

Tools

Palantir Foundry

AWS / Azure / GCP

Job description

CGI is delivering large-scale data platforms using Palantir Foundry and cloud-native tooling. You will design and optimise enterprise data pipelines and data products, collaborating with clients to unlock efficiency and insight across critical programmes.

You will join multi-disciplinary teams, emphasising pragmatic ownership, strong technical craft, observability and reusable patterns to accelerate client roadmaps for modern data adoption.