Nordic Data Engineer: Hybrid Cloud Lakehouse & AI Delivery

Redeploy; Göteborgs kommun; Híbrido; SEK 700.000 - 1.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

SQL

Spark

Cloud computing

Educación

Computer Science/IT/Engineering degree

Herramientas

Azure

AWS

Databricks

CI/CD for data

Descripción del empleo

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