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Data Engineer(GCP)

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 13 days ago

No clicks

**Data Engineer (GCP) - Capgemini** Build and optimize data pipelines on Google Cloud, developing robust ETL/ELT processes. Design and manage data lakes/warehouses using BigQuery and cloud-native services. Ensure data quality, security, and performance. Collaborate with cross-functional teams to automate deployments using CI/CD and infrastructure-as-code practices. Requires strong SQL skills, programming proficiency in Python/Scala, and experience with BigQuery, Cloud Storage, Dataflow, and Airflow. Understanding of data modeling and distributed systems is crucial. Google Cloud Data Engineer certification is beneficial. Join Capgemini's Insights & Data team, delivering state-of-the-art data solutions. Enjoy hybrid working, continuous feedback, and extensive training opportunities on NEXT platform. Diverse work environment with well-being support and hybrid working model.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Poland

Full Job Description

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

Your Team

Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision.

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.

#LI-AS3

Data Engineer(GCP)

Compensation

Not specified

City: Not specified

Country: Poland

Capgemini logo
Consultancies

13 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Data Engineer (GCP) - Capgemini** Build and optimize data pipelines on Google Cloud, developing robust ETL/ELT processes. Design and manage data lakes/warehouses using BigQuery and cloud-native services. Ensure data quality, security, and performance. Collaborate with cross-functional teams to automate deployments using CI/CD and infrastructure-as-code practices. Requires strong SQL skills, programming proficiency in Python/Scala, and experience with BigQuery, Cloud Storage, Dataflow, and Airflow. Understanding of data modeling and distributed systems is crucial. Google Cloud Data Engineer certification is beneficial. Join Capgemini's Insights & Data team, delivering state-of-the-art data solutions. Enjoy hybrid working, continuous feedback, and extensive training opportunities on NEXT platform. Diverse work environment with well-being support and hybrid working model.

Full Job Description

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

Your Team

Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision.

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.

#LI-AS3