8 days ago
Oslo, Norway +3 moreSenior
Responsibilities
- Own the design, development, and evolution of scalable ETL/ELT pipelines.
- Develop data products and data-platform components using modern architecture principles.
- Structure, integrate, and validate data with emphasis on performance, scalability, quality, and availability.
- Drive data modeling and best practices for automation, orchestration, and CI/CD.
- Act in an advisory capacity by translating business needs into technical solutions and improving the platform and team.
Requirements
- Experience in cloud data engineering with Azure, AWS, or GCP.
- Preferably experience with Databricks, Snowflake, or Fabric.
- Strong SQL skills and preferably experience with Python.
- Knowledge of data modeling, data quality, and building stable and efficient data solutions.
- Experience with or interest in DevOps principles, orchestration, CI/CD, and version control with Git.
- Fluent written and spoken Norwegian and English; fluent Norwegian communication is required.
Benefits
- Career framework focused on career and development goals, with courses, workshops, and certifications.
- Opportunity to work on international projects worldwide if desired.
- Social events, seminars, sports clubs, social gatherings, and access to company cabins in locations including Gaustablikk, Sirdal, Trysil, and Hemsedal.
- Subsidized memberships, favorable insurance and pension plans, and support for parental leave.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.