Senior Data Engineer
Senior Data Engineer at CGI in Leeds designing and building enterprise-scale data pipelines and data products for clients, working across Palantir Foundry and cloud (AWS/Azure/GCP) ecosystems. Hands-on Python/PySpark and SQL work in a client-facing consulting environment.
- Compensation
- Not disclosed
- Location
- Leeds, United Kingdom
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong commercial data engineering experience delivering production-grade solutions on modern platforms
- Comfort with large datasets, distributed processing and software engineering discipline for data products
- Extensive experience with Python and PySpark / Apache Spark
- Proven track record designing and delivering scalable data pipelines and data products
- Strong SQL and data modelling skills
- Experience with cloud data services (AWS, Azure or GCP)
- Familiarity with version control, automated testing and CI/CD for data platforms
- Experience integrating data from multiple structured and unstructured sources
- Strong problem-solving ability and client-facing delivery experience
- Collaborative mindset
- Ownership and pragmatic problem-solving
- Client-facing communication
Nice to have
- Hands-on Palantir Foundry experience or ability to upskill quickly
Full description
Overview
In this role you will design and build enterprise-scale data pipelines and products to improve client operations and analytics. You will work across Foundry and cloud ecosystems to translate stakeholder needs into production-grade solutions, emphasizing quality, observability and reusable patterns. Collaborating with architects, product owners and analysts, you’ll shape roadmaps and deliver measurable outcomes that accelerate modern data adoption. This is a hands-on role in a collaborative, client-facing environment with a strong emphasis on ownership and delivering value.
Pay / Benefits
- competitive salary
- excellent pension
- private healthcare
- share scheme (3.5% + 3.5% matching)
Responsibilities
- Design, build and optimise enterprise-scale data pipelines and data products
- Translate stakeholder needs into maintainable, production-grade solutions
- Champion quality, observability and reusable engineering patterns
- Collaborate with architects, product owners and analysts to shape roadmaps and deliver measurable outcomes
- Work across Foundry and cloud ecosystems to enable scalable data platforms
Key requirements
- Strong commercial data engineering experience delivering production-grade solutions on modern platforms
- Comfort with large datasets, distributed processing, and software engineering discipline for data products
- Foundry experience is desirable; strong Python/PySpark engineers who can learn Foundry quickly
- Extensive experience with Python and PySpark / Apache Spark
- Proven track record designing and delivering scalable data pipelines and data products
- Strong SQL and data modelling skills
- Experience with cloud data services (AWS, Azure or GCP)
- Familiarity with version control, automated testing and CI/CD for data platforms
- Experience integrating data from multiple structured and unstructured sources
- Strong problem-solving ability and client-facing delivery experience
- Desirable: hands-on Palantir Foundry experience or ability to upskill quickly
- Collaborative mindset
- Ownership and pragmatic problem-solving
- Client-facing communication
- Python
- PySpark / Apache Spark
- SQL