Short company description

Why we’re different:
At Capgemini, we help organizations across the world become more agile, more competitive and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.

Requirements

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.
As a Google 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 PROFILE
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Strong SQL and programming skills (Python, Scala).
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Experience with BigQuery, Cloud Storage, Dataflow, Airflow.
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Understanding of data modeling and distributed systems.
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Google Cloud Data Engineer certification (preferred).
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Looker knowledge is a plus

Responsibilities

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

Other info

WHAT YOU''''''''LL LOVE ABOUT WORKING HERE:
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Flexible and dynamic work environment involving teams spread across different global locations;
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Communities with shared interests and identities, all working together to advance diversity, equity and inclusion within the workplace and society;
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Do you want to learn more? You will have access to various training programs and platforms (e.g.: content provided by Pluralsight, Harvard and Coursera);
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Attractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).
Capgemini is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.

Benefits

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  Special events bonus
  (ex: Easter, Christmas)
  
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  Medical subscription
  
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  Life insurance
  
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  Trainings
  
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  Courses
  
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  Certifications
  
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  Bookster subscription
  
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  Choose your benefits within a maximum budget
  
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  Extra days off
  
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  Parties / company events
  
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  Laptop
  
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  Fun / Relax Area
  
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  Meal vouchers