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Data Engineer

at Capgemini

Back to all Data Engineering jobs
Capgemini logo
Consultancies

Data Engineer

at Capgemini

Mid LevelNo visa sponsorshipData Engineering

Posted 6 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Geneva
Country
Switzerland

Data Engineer responsible for delivering reliable data pipelines and advanced analytics on the Azure platform, collaborating with front-office teams to understand and address their data needs. Design, develop and maintain robust ETL/ELT pipelines using PySpark and Azure Data Factory/Synapse; produce analysis and simple models in Python and SQL to support business needs, ensuring data quality and availability through testing and validation. Implement data management and security best practices and participate in automating data collection and transformation processes.

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.

YOUR ROLE

As a Data Engineer you will be responsible for delivering reliable data pipelines and advanced analytics for business teams on Azure platform, and you'll work closely with front office teams to understand and address their data needs.

  • Design, develop, and maintain robust and efficient ETL/ELT pipelines (PySpark, Azure Data Factory/Synapse);
  • Collaborate with front office teams to identify data requirements and propose suitable solutions;
  • Produce analysis and simple models in Python and SQL to support bisiness needs, ensuring data quality, reliability and availability through testing and validation;
  • Implement best practices for data management and security;
  • Participate in automating data collection and transformation processes.

YOUR PROFILE

  • Master degree in Computer Science, Data Engineering, or a related field and significant experience with Pyspark and Azure;
  • Proficiency in Python for data processing and knowledge of databases (SQL and NoSQL);
  • Solid knowledge of data modeling and distributed data processing;
  • Strong analytical and problem-solving skills, ability to work in a collaborative and dynamic environment;
  • French and english fluency

WHAT YOU'LL LOVE ABOUT WORKING HERE?

  • Craft your own career path through continuous learning and personal growth;
  • Experience the benefits of hybrid working, offering flexibility and ensuring work-life balance;
  • Harness the strength of diverse teams, fostering innovation and inclusive collaboration;
  • We offer additional benefits such as 5 weeks of vacation, Employee referral bonus, Company shares program and Annual contribution to a fitness subscription.

Capgemini Switzerland 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.

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 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 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

Data Engineer

at Capgemini

Back to all Data Engineering jobs
Capgemini logo
Consultancies

Data Engineer

at Capgemini

Mid LevelNo visa sponsorshipData Engineering

Posted 6 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Geneva
Country
Switzerland

Data Engineer responsible for delivering reliable data pipelines and advanced analytics on the Azure platform, collaborating with front-office teams to understand and address their data needs. Design, develop and maintain robust ETL/ELT pipelines using PySpark and Azure Data Factory/Synapse; produce analysis and simple models in Python and SQL to support business needs, ensuring data quality and availability through testing and validation. Implement data management and security best practices and participate in automating data collection and transformation processes.

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.

YOUR ROLE

As a Data Engineer you will be responsible for delivering reliable data pipelines and advanced analytics for business teams on Azure platform, and you'll work closely with front office teams to understand and address their data needs.

  • Design, develop, and maintain robust and efficient ETL/ELT pipelines (PySpark, Azure Data Factory/Synapse);
  • Collaborate with front office teams to identify data requirements and propose suitable solutions;
  • Produce analysis and simple models in Python and SQL to support bisiness needs, ensuring data quality, reliability and availability through testing and validation;
  • Implement best practices for data management and security;
  • Participate in automating data collection and transformation processes.

YOUR PROFILE

  • Master degree in Computer Science, Data Engineering, or a related field and significant experience with Pyspark and Azure;
  • Proficiency in Python for data processing and knowledge of databases (SQL and NoSQL);
  • Solid knowledge of data modeling and distributed data processing;
  • Strong analytical and problem-solving skills, ability to work in a collaborative and dynamic environment;
  • French and english fluency

WHAT YOU'LL LOVE ABOUT WORKING HERE?

  • Craft your own career path through continuous learning and personal growth;
  • Experience the benefits of hybrid working, offering flexibility and ensuring work-life balance;
  • Harness the strength of diverse teams, fostering innovation and inclusive collaboration;
  • We offer additional benefits such as 5 weeks of vacation, Employee referral bonus, Company shares program and Annual contribution to a fitness subscription.

Capgemini Switzerland 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.

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 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 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

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