Data Engineering Manager

4w1 month ago

Electrolux Group

SE · Full-time · SEK 900,000 – SEK 1,200,000

About this role

At Electrolux Group, we strive every day to shape living for the better for our consumers, our people and our planet. As a Data Engineering Manager, you are a leader of builders, not just a people manager but a technical authority who has grown from the ground up in Data Engineering.

Your mission is twofold: to accelerate the professional growth of your engineers and to steer your team toward building state-of-the-art AI and data solutions that business stakeholders trust to drive revenue. You will partner with business stakeholders to translate their goals into technical roadmaps, ensuring your team's output is viewed as a revenue center.

You will oversee a high-performing organization where technical excellence and business acumen are the standard. The platform is built on a modern stack including Azure Databricks, Python, PySpark, dbt, Azure Data Factory, Apache Airflow, and GitHub, and you will steer the team in building scalable architectures like Data Mesh and Medallion.

You will own the reliability, security, and cost-efficiency of the data platform within your domain, driving a culture of 'you build it, you run it.' This role offers the opportunity to lead a team that delivers trusted, high-impact data products in a global community of people from 100+ countries.

Requirements

Solid and progressive experience in Data Engineering, with at least 3-5 years in a leadership or management role.
Proven track record as a hands-on builder in cloud-based data environments, preferably Azure Databricks.
Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
Ability to bridge the gap between deep technical implementation and C-suite business strategy.
Experience handling large-scale technical ambiguity and delivering solutions that directly impact business outcomes.

Responsibilities

Actively coach and mentor Data Engineers to grow their technical and leadership skills, owning the career trajectory and performance of your team.
Serve as a hands-on technical lead when necessary, diving into code reviews, architectural discussions, and system design to maintain a high technical bar.
Partner with business stakeholders to translate their goals into technical roadmaps, ensuring your team's output is viewed as a revenue center.
Define and report Key Performance Indicators and launch impact as part of regular business reviews, contributing to metric-based annual quarterly OKR setting.
Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
Own the reliability, security, and cost-efficiency of the data platform within your domain, driving a culture of 'you build it, you run it.'

Benefits

Be part of a leading global appliance company shaping living for the better.
Join a global community of people from 100+ countries with diverse perspectives.
Opportunity to lead a team building state-of-the-art AI and data solutions.
Work with a modern tech stack including Azure Databricks, Python, PySpark, dbt, and Apache Airflow.