Nordic Data Engineer: Hybrid Cloud Lakehouse & AI Delivery

Redeploy

Göteborgs kommun

Hybrid

SEK 700,000 - 1,100,000

Full time

14 days+
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Benefits offered by this job

30 days vacation
Hybrid work and flexible hours
Private medical insurance
Pension (ITP1)
Wellness allowance 5,000 SEK
Free choice of tools and tech
Free breakfast, soda and snacks
Yearly gatherings and AWs
A team with genuine interests outside

Job summary

Redeploy is seeking a Data Engineer to own the data platforms across the Nordics, collaborating with platform, analytics and GenAI developers. You’ll work hands-on with Python, SQL and PySpark, shaping lakehouse architectures and Kimball modelling for production-ready data and AI workflows.

You’ll join cross-functional delivery teams, gain exposure to insurance, manufacturing, and logistics use cases, and have opportunities to grow into senior technical or architectural roles while delivering

Qualifications

  • Background in Computer Science, IT, Engineering or equivalent university degree.
  • Strong programming skills in Python, solid experience in SQL and Spark, sound understanding of software engineering principles.
  • Experience with cloud-based data solutions (Azure preferred, AWS also relevant).
  • Solid understanding of data structures, modelling and processing.
  • Familiarity with data architectures like Lakehouse and Medallion.
  • AI-assisted development – you use tools like Claude, Code, Codex in daily work.

Responsibilities

  • Build data platforms from raw source systems to production-ready models.
  • Hands-on Python and SQL, with PySpark, in Kimball modelling and lakehouse architecture.
  • Shape what gets built and deliver it with clients.

Skills

Python
SQL
Spark
Cloud computing

Education

Computer Science/IT/Engineering degree

Tools

Azure
AWS
Databricks
CI/CD for data

Job description

Redeploy is seeking a Data Engineer to own the data platforms across the Nordics, collaborating with platform, analytics and GenAI developers. You’ll work hands-on with Python, SQL and PySpark, shaping lakehouse architectures and Kimball modelling for production-ready data and AI workflows.

You’ll join cross-functional delivery teams, gain exposure to insurance, manufacturing, and logistics use cases, and have opportunities to grow into senior technical or architectural roles while delivering

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