Hybrid AI Data Engineer: Build AI‑Ready Data Pipelines

Capgemini; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid working

Extensive learning and development

Job summary

Capgemini in the United Kingdom is seeking a Data Engineer to design, build and operate reliable data pipelines and data products powering analytics, AI and agentic systems.

You will join the Data Platforms team within the Insights and Data Global Practice, working with AWS, Azure and GCP, Databricks and Snowflake to deliver secure, well-governed data foundations. Hybrid work is offered.

Qualifications

• Hands-on experience delivering data pipelines and data platforms in production environments.
• Strong Python and SQL, with sound software engineering practice (Git, code review, unit testing, CI/CD).
• Experience with distributed data processing and modern lakehouse/warehouse patterns; good data modelling.
• Experience with cloud data services on at least one major cloud (AWS, Azure, or GCP).
• Practical use of AI coding assistants in real engineering workflow with data confidentiality.
• Continuous learning mindset and clear communication with technical and non-technical teammates.

Responsibilities

• Build and maintain data pipelines and data products using ETL/ELT and distributed processing to ingest, transform and curate data in cloud storage and analytics platforms.
• Engineer data for AI and agentic use cases; prepare curated datasets and features for analytics and ML; build retrieval and embedding pipelines.
• Expose data to AI systems via APIs and the Model Context Protocol where applicable.
• Apply data modelling, quality and governance; ensure lineage and documentation for auditable data products.
• Build observability for non-deterministic systems with logging, alerts, and SLAs for production pipelines.
• Use AI-assisted engineering responsibly to accelerate development, testing and documentation.
• Collaborate across teams with analysts, platform engineers, data scientists and DevOps in an agile environment.
• Keep current with modern data and AI engineering practice and contribute to accelerators and standards.

Skills

Python

SQL

CI/CD

Git

Data pipelines

Distributed processing

Cloud services

Job description

Capgemini in the United Kingdom is seeking a Data Engineer to design, build and operate reliable data pipelines and data products powering analytics, AI and agentic systems.

You will join the Data Platforms team within the Insights and Data Global Practice, working with AWS, Azure and GCP, Databricks and Snowflake to deliver secure, well-governed data foundations. Hybrid work is offered.