Data Engineer - Agentic AI & Enterprise Platforms

Capgemini; Warszawa; On-site; PLN 60,000 - 90,000; Full time

Benefits offered by this job

Medical care with Medicover

Private life insurance

Access to training and certification opportunities

Well-being support and resources

Job summary

Capgemini in Warsaw is looking for a Data / AI Engineer to design and implement enterprise-grade AI solutions. You will work with cloud platforms and engage in creating data pipelines and managing datasets for AI workloads.

The ideal candidate should have strong experience in Data Engineering, knowledge of Python, and practical experience with LLMs. Enjoy benefits like medical care, training opportunities, and a commitment to diversity and inclusion.

Qualifications

• Strong experience in Data Engineering with a focus on data pipelines.
• Solid knowledge of Python for programming and scripting.
• Practical experience with LLMs and generative AI in a production environment.

Responsibilities

• Design and build cloud-based data pipelines for business applications.
• Collaborate with AI teams to deliver data-driven solutions using Vertex AI.
• Ensure data quality, reliability, and governance in management processes.

Skills

Data Engineering

Python

SQL

AI & LLM fundamentals

Cloud Experience (AWS, Azure, GCP)

Job description

About the Role

We are looking for a Data / AI Engineer who wants to work at the intersection of data engineering, generative AI, and agent-based systems. In this role, you will design and build enterprise-grade AI solutions using AI agents, large language models, and data platforms, helping customers translate AI capabilities into real business value. You do not need to be a Google Cloud expert from day one. We are looking for strong core engineering and data fundamentals and experience with cloud platforms (AWS, Azure) with the ability to quickly transition to GCP services including Vertex AI.

Your Tasks

• 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

Your Profile

• Strong experience in Data Engineering
• Solid knowledge of Python
• Experience designing and operating data pipelines
• Hands‑on work with SQL and analytical data stores
• Understanding of data modeling, data quality, and data governance
• AI & LLM fundamentals
• Understanding of prompt engineering, Retrieval‑Augmented Generation (RAG), Tool/function calling
• Agent concepts (reasoning, planning, actions, memory)
• Practical experience with LLMs and generative AI, not only experimentation
• Cloud & Platform Experience – experience with at least one major cloud provider (AWS, Azure, or GCP)
• Familiarity with cloud‑native concepts, particularly in Data Engineering related services

What You'll Love About Working Here

• Well‑being culture: medical care with Medicover, private life insurance, and a sports card. We also offer our own Capgemini Helpline with therapeutic support and an educational podcast Let’s talk about wellbeing, available on Spotify.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Free access to Education First languages platform, Pluralsight, TED Talks, Coursera, and Udemy Business materials and trainings.
• Award‑Winning stability & culture: part of an organization celebrated as Top Employer Poland 2024 – in the audit our stable and supportive work environment scored 100 %.
• Cutting‑edge technology: position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.