Data Engineering Manager

Electrolux Group

Stockholm, Sweden
Onsite
Azure databricks experience
Python and pyspark proficiency
Dbt and azure data factory skills
Electrolux Group is seeking a Data Engineering Manager based in Stockholm, Sweden, to lead and develop a high-performing data engineering team focused on building innovative AI and data solutions. The ideal candidate will have a strong technical background in data engineering, along with leadership experience, and will be responsible for aligning technical initiatives with business objectives

Job Summary

  • This role requires a leader who acts as both a people manager and a hands-on technical authority to drive state-of-the-art AI and data solutions.
  • The successful candidate will partner with business stakeholders to translate goals into technical roadmaps that deliver trusted, high-impact data products viewed as a revenue center.
  • You will oversee a modern tech stack leveraging Azure Databricks, Python, PySpark, dbt, and Apache Airflow to build scalable data architectures.

Matching Summary

Match Score: 85

Electrolux Group is seeking a Data Engineering Manager based in Stockholm, Sweden, to lead and develop a high-performing data engineering team focused on building innovative AI and data solutions. The ideal candidate will have a strong technical background in data engineering, along with leadership experience, and will be responsible for aligning technical initiatives with business objectives.

Skills & Requirements

Must-have

  • Azure Databricks experience
  • Python and PySpark proficiency
  • dbt and Azure Data Factory skills
  • Apache Airflow orchestration
  • GitHub CI/CD culture
  • 3-5 years leadership experience
  • Hands-on technical authority

Nice-to-have

  • Data Mesh architecture knowledge
  • Medallion architecture implementation
  • Agentic AI flow development
  • Revenue center mindset
  • High-performing team building
  • You build it you run it culture

Key Requirements

  • 3-5 years in leadership or management role
  • Solid progressive experience in Data Engineering
  • Proven track record as a hands-on builder in cloud environments
  • Experience handling large-scale technical ambiguity
  • Ability to bridge deep technical implementation and C-suite strategy

Work Rights

Not specified

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