Agentic AI Data Engineer — Enterprise AI Pipelines

Capgemini; Województwo pomorskie; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Medicover medical care

Private life insurance

Sports card

Capgemini Helpline for wellbeing

Next training tracks platform access

Job summary

Capgemini is seeking a Data Engineer to join the Agentic AI & Enterprise Platforms team in Poland. You will design and operate cloud-based data pipelines and data platforms for analytics and AI workloads, collaborating with AI teams to deliver data-driven solutions using Vertex AI and Gemini Enterprise.

You will work with customers to translate business data requirements into scalable, enterprise-ready architectures, leveraging Python, SQL, and cloud platforms across AWS, Azure, and GCP.

Qualifications

• Experience in data engineering for analytics and enterprise data platforms.
• Solid Python programming experience.
• Experience designing and operating data pipelines.
• Hands-on SQL and analytical data stores.
• Understanding of data modeling, data quality, and governance.

Responsibilities

• Design, build, and operate cloud-based data pipelines and data platforms for analytics and downstream use cases.
• Ingest, transform, and manage structured and unstructured enterprise data, ensuring data quality, reliability, and governance.
• Prepare and expose data for AI and generative AI workloads, including retrieval and feature-ready datasets.
• Collaborate with AI teams to build data-driven AI solutions using Vertex AI and Gemini Enterprise.
• Work with customers to translate business data requirements into scalable, enterprise-ready architectures.

Skills

Data engineering

Python

Data pipelines

SQL

Data governance

RAG

LLMs

Generative AI

Cloud platforms

AWS/Azure/GCP

Tools

Vertex AI

Gemini Enterprise

AWS

Azure

Job description

Capgemini is seeking a Data Engineer to join the Agentic AI & Enterprise Platforms team in Poland. You will design and operate cloud-based data pipelines and data platforms for analytics and AI workloads, collaborating with AI teams to deliver data-driven solutions using Vertex AI and Gemini Enterprise.

You will work with customers to translate business data requirements into scalable, enterprise-ready architectures, leveraging Python, SQL, and cloud platforms across AWS, Azure, and GCP.