Senior Data Engineer (GCP)

JobCubby

Kraków

Hybrid

PLN 120,000 - 180,000

Full time

13 days ago
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Benefits offered by this job

Hybrid working model
Well-being support (Medicover, life/AD
Training & certifications

Job summary

Capgemini Polska is seeking a Google Data Engineer to design, build, and maintain scalable data platforms and pipelines on Google Cloud. You will work with large datasets, ensuring data quality and performance across the data lifecycle, collaborating with architects, analytics teams, and business stakeholders to deliver data products that support reporting, analytics, and AI use cases.

You will build ETL/ELT pipelines, develop data lakes and warehouses, and automate deployments using CI/CD and

Qualifications

  • Strong SQL and programming skills (Python, Scala).
  • Experience with BigQuery, Cloud Storage, Dataflow, Airflow.
  • Understanding of data modeling and distributed systems.
  • Google Cloud Data Engineer certification (preferred).

Responsibilities

  • Build and optimize data pipelines (ETL/ELT) on Google Cloud.
  • Develop data lakes and warehouses using BigQuery and cloud-native services.
  • Ensure data quality, security, and performance.
  • Collaborate with architects and analytics teams.
  • Automate deployments using CI/CD and infrastructure-as-code practices.

Skills

SQL
Python
Scala
BigQuery
Cloud Storage
Dataflow
Airflow
Data modeling
Distributed systems
GCP certification

Job description

. Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Insights and Data:

Insights & Data is a dynamic team of over 400 professionals delivering cutting-edge data solutions. We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across GCP, Azure and AWS. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions.

Your Role:

As aGoogle Data Engineer, you design, build, and maintain scalable data platforms and pipelines on Google Cloud. You work with large datasets, ensuring data quality, reliability, and performance across the full data lifecycle. You collaborate with architects, analytics teams, and business stakeholders to deliver data products that support reporting, analytics, and AI use cases.

Your Task:
  • Build and optimize data pipelines (ETL/ELT) on Google Cloud.
  • Develop data lakes and warehouses using BigQuery and cloud‑native services.
  • Ensure data quality, security, and performance.
  • Collaborate with architects and analytics teams.
  • Automate deployments using CI/CD and infrastructureascode practices.
Your Profile:
  • Strong SQL and programming skills (Python, Scala).
  • Experience with BigQuery, Cloud Storage, Dataflow, Airflow.
  • Understanding of data modeling and distributed systems.
  • Google Cloud Data Engineer certification (preferred).
What You'll love about working here
  • Well‑being culture: medical care with Medicover, private life insurance, and Multisport 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, Excel, Business Analysis, Project Management) 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.
  • Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess
  • supported by a transparent performance management policy.
  • Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
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.

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