Senior Data Engineer - Rebtech
Workplace: Stockholm, Sverige
Expires: December 19, 2025
Join an innovative Data Analytics consultancy to design, build, and maintain customer data platforms and pipelines. Work collaboratively in a skilled team with a culture focused on learning, knowledge sharing, and mutual support. The role involves end-to-end ownership from data integration to delivering valuable insights to clients.
Main requirements:
  • Problem-solving mindset with ability to work independently
  • Solution-oriented, driven, eager to learn and teach others
  • At least four years experience in Business Intelligence and Data Warehousing
  • Programming skills in one or more languages such as Python, Scala, Java or similar
  • Experience building ETL/ELT pipelines
  • Experience with Azure and Microsoft Fabric
  • Experience with DevOps practices including GIT and CI/CD
  • Experience with container technologies and Infrastructure as Code (Kubernetes, Docker, Terraform or similar)
  • Worked with modern tools such as Databricks, DBT, Power BI and Airflow
  • Fluent in Swedish and English
  • Relevant university degree
Responsibilities:
  • Design, build and maintain customer data platforms and pipelines
  • Handle the full delivery chain from data integration to insight generation
  • Proactively innovate and customize solutions to meet specific client needs and challenges
Required hard skills:
  • Business Intelligence
  • Data Warehousing
  • ETL/ELT pipeline development
  • Azure cloud platform
  • Microsoft Fabric
  • DevOps (GIT, CI/CD)
  • Container technologies (Kubernetes, Docker)
  • Infrastructure as Code (Terraform or similar)
  • Modern data tools (Databricks, DBT, Power BI, Airflow)
  • Programming languages (Python, Scala, Java or similar)
Soft skills:
  • Analytical and problem-solving orientation
  • Ability to work independently and in teams
  • Curiosity and willingness to learn new technologies
  • Good communication skills in both spoken and written forms
Coding languages:
  • Python
  • Scala
  • Java
Frameworks:
  • Databricks
  • DBT
  • Airflow
Natural languages:
  • Swedish (Proficient)
  • English (Proficient)
Cultural skills:
  • Team-oriented
  • Knowledge sharing
  • Learning from mistakes
  • Innovation