Data Engineer / Data Scientist
Workplace: Malmö, Sverige
Expires: November 14, 2025
Work with the latest data platforms and grow in a team passionate about technology, knowledge sharing, and problem-solving at Random Forest in Malmö. This role combines technical expertise with freedom, development, and strong community.
Main requirements:
  • Relevant university degree in computer science, physics, mathematics or similar.
  • 2–5 years of experience in data engineering or data science.
  • Strong knowledge of SQL.
  • Experience in Python or a similar language.
  • Experience working in Azure environment including tools like Data Factory, Synapse, Databricks, Microsoft Fabric or Snowflake.
  • Fluent communication skills in Swedish and English.
Responsibilities:
  • Design and develop batch pipelines and data platforms within Azure environment.
  • Develop in SQL and Python for data integration, storage, and transformations.
  • Work with modern tools such as Databricks and Microsoft Fabric.
  • Collaborate with consultants and customers in agile teams.
  • Contribute to technology choices and architectural decisions in deliveries.
  • Work closely with customers and support continuous improvements of data solutions.
Required hard skills:
  • SQL
  • Python
  • Azure Data Factory
  • Azure Synapse
  • Databricks
  • Microsoft Fabric
  • Snowflake
Soft skills:
  • Self-driven and proactive
  • Strong desire to develop technically and as a consultant
  • Ability to take responsibility and initiative
  • Curiosity and problem-solving skills
  • Interest in understanding complex challenges deeply
  • Ability to stay updated with new technologies and methods
  • Teamwork and knowledge sharing
  • Good communication and relationship-building skills with colleagues and clients
Coding languages:
  • SQL
  • Python
Frameworks:
  • Databricks
  • Microsoft Fabric
Natural languages:
  • Swedish (Proficient)
  • English (Proficient)
Cultural skills:
  • Knowledge sharing
  • Agile collaboration
  • Customer-centric approach
  • Technical excellence