Capgemini
Data Engineers
CapgeminiFinland1 day ago
Full-timeRemote FriendlyInformation Technology
Capgemini Finland Insights & Data practice is focused on creating cutting-edge analytics, machine learning and AI solutions that run on top of reliable, scalable, and high-performing Big Data cloud platforms. Our experienced consultants also support our customers in crystallizing business-driven data strategies as well as in designing and running data management and governance programs. We believe that by leveraging a holistic approach, organizations can truly become data-driven in all they do.

Your role

We are looking for Data Engineers to join our team. As a member of our Insights & Data practice, you will be part of a global network of data experts and work to design and implement cloud data platforms on a cutting-edge technology stack.

Your role will be defined based on your experience and interests, possibilities varying from hands-on implementation work to designing data and solution architectures.

Your profile

  • Previous experience of data engineer or data architect work with Azure (experience with AWS or Google Cloud is an advantage)
  • Excellent hands-on skills with SQL and Python or Java
  • Experience with data warehousing concepts and platforms (e.g. Snowflake, Azure Synapse)
  • Experience with modern lakehouse platforms including Databricks
  • Practical experience with CI/CD practices and related tools (e.g. Git, Jenkins, Azure DevOps, or similar)
  • Strong communication skills with the ability to bridge business, data, and technology, translating customer needs into trusted technical solutions
  • Fluent communication and presentations skills in English and preferably also in Finnish
  • Ability to work independently with customers - previous consulting experience is a plus

Experience with some of the following is considered a plus

  • Data modeling and data governance (e.g. dimensional modeling, data catalogs, metadata management, data quality frameworks, or tools such as Azure Purview, Collibra, Alation)
  • Data integration and processing tools such as Azure Data Factory, Informatica, Databricks or Spark
  • Infrastructure-as-Code tools like Terraform, Ansible or AWS CloudFormation
  • Information security and privacy considerations related to cloud solutions

What You’ll Love About Working Here

At Capgemini Finland, you have the opportunity to shape your own career path and work on meaningful projects with Finland’s leading organizations. We offer a collaborative and inclusive work environment where your expertise is valued and where you can continuously grow.

  • Global impact – As the leading player in data, AI, and analytics in the Nordics, you’ll be part of shaping the future of technology.
  • Continuous learning – You’ll have access to Capgemini’s global learning platform and can develop yourself through certifications and research.
  • Community-driven culture – You’ll collaborate with diverse experts and have the chance to network with colleagues around the world.
  • Innovative projects – You’ll participate in top-tier projects across industries, from AI to data management and cloud solutions.
  • Work-life balance – We support hybrid and remote work so you can flexibly combine your personal and professional life.

Interested?

Send in your application at the latest by October 19th 2025. We are reviewing applications during the application period.

For more information about the role, please contact Erkka Ryynänen, Head of AI & Engineering ([email protected]).

When it comes to data, Capgemini is the Nordic leader in Data, AI and Analytics and our local expertise is backed up by a powerful global network. Our projects are around Modern Cloud Data Platforms, Data Warehousing, Data Governance Advisory, AI/ML and Data Quality Solutions and there are strong capabilities within this area across the organization (you get to network within the company to learn from other peers globally). We also have our own university to ensure continuous learning (certifications etc.), globally investing heavily in research on different data solutions.

Key Skills

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