Agentic AI Data Engineer

Capgemini

Województwo pomorskie

Sur place

PLN 180 000 - 250 000

Plein temps

Il y a 3 jours
Soyez parmi les premiers à postuler

Obtenez une réponse de cet employeur

Votre CV et votre lettre de motivation, adaptés exactement à ce que l’employeur recherche.

Passez les filtres ATS

Avantages offerts par ce poste

Medical care (Medicover)
Private life insurance
Sports card
Wellbeing helpline
Training tracks & courses access

Résumé du poste

Capgemini Polska is seeking a Data Engineer at the intersection of data engineering, AI, and agent-based systems. You will design and build enterprise-grade AI-enabled data platforms and pipelines, working with Vertex AI and Gemini Enterprise across AWS, Azure, and GCP.

You will ingest, transform, and expose data for AI workloads while ensuring data quality, governance, and reliability. Collaboration with AI teams and clients is key to translating business data requirements into scalable

Qualifications

  • Proven experience in data engineering.
  • Strong Python programming skills.
  • Experience designing and operating data pipelines.
  • Hands-on SQL and analytical data stores experience.
  • Understanding of data modeling, quality and governance.
  • Familiarity with Retrieval-Augmented Generation (RAG).
  • Knowledge of tool/callable functions and agent concepts.
  • Practical experience with LLMs and generative AI.
  • Experience with at least one major cloud provider (AWS/Azure/GCP).
  • Familiarity with cloud-native data engineering services.

Responsabilités

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

Connaissances

Data engineering
Python
Data pipelines
SQL
Data governance
RAG
LLMs
Vertex AI
Gemini Enterprise
Cloud platforms (AWS/Azure/GCP)

Description du poste

Data Engineer - Agentic AI & Enterprise Platforms
Your Team

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
What You Will Do
  • 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
  • Understanding of:
  • 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 Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
  • Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
  • Award-Winning Stability & Culture: Become 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.
Get To Know Us

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.Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

Obtenez votre examen gratuit et confidentiel de votre CV.

ou faites glisser et déposez votre fichier ici.

Similar jobs

Postes similaires à comparer

Agentic AI Data Engineer
Agentic AI Data Engineer

Capgemini • Wrocław

Sur place
PLN 120 000 - 190 000
Medicover health care
Private life insurance
Sports card
+3
Agentic AI Data Engineer
Agentic AI Data Engineer

Capgemini • Warszawa

Sur place
PLN 180 000 - 240 000
Medicover care
Private life insurance
Sports card
+2
Agentic AI Data Engineer
Agentic AI Data Engineer

Capgemini • Kraków

Sur place
PLN 180 000 - 240 000
Medicover healthcare
Private life insurance
Sports card
+3
Senior AI Engineer
Senior AI Engineer

Capgemini • Wrocław

Hybride
PLN 120 000 - 180 000
Hybrid work model
70+ training tracks on NEXT platform
Private medical care (Medicover)
+2
Senior Data Scientist
Senior Data Scientist

Capgemini • Pologne

Sur place
PLN 140 000 - 190 000
Medicover medical care
Private life insurance
Multisport card
+1
Senior Data Platform Engineer (DevOps)
Senior Data Platform Engineer (DevOps)

Capgemini • Poznań

Sur place
PLN 200 000 - 260 000
Medicover medical care
Private life insurance
Sports card
+1
Gen AI Developer
Gen AI Developer

Capgemini Invent • Warszawa

Sur place
PLN 120 000 - 160 000
Senior Software Engineer (Agentic AI, Cloud-native, On-prem)
Senior Software Engineer (Agentic AI, Cloud-native, On-prem)

Capgemini • Województwo pomorskie

Sur place
PLN 180 000 - 240 000
Medicover private medical care
Life insurance
70+ training tracks
+2
Solution Architect (Agentic AI, GenAI, Custom Development)
Solution Architect (Agentic AI, GenAI, Custom Development)

Capgemini • Pologne

Sur place
PLN 260 000 - 520 000
Private medical care
Training tracks
Language learning access
+2
Data Platform Engineer (DevOps)
Data Platform Engineer (DevOps)

Capgemini • Województwo pomorskie

Sur place
PLN 120 000 - 180 000
Hybrid working
Training tracks
Private medical care
+2