Data Engineering Manager

Electrolux Group•Stockholm, ME

1d•Onsite

About The Position

As a Data Engineering Manager, you are a leader of builders. You are not just a people manager; you are 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 be responsible for a high-performing organization where technical excellence and business acumen are the standard.

Requirements

Experience: Solid and progressive (several years) experience in Data Engineering, with at least 3-5 years in a leadership or management role.
Technical Background: You must have a proven track record as a hands-on builder in cloud-based data environments (preferably Azure Databricks).
Leadership Philosophy: Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
Communication: Ability to bridge the gap between deep technical implementation and C-suite business strategy.
Problem Solving: Experience handling large-scale technical ambiguity and delivering solutions that directly impact company revenue.

Responsibilities

People Leadership: Actively coach and mentor Data Engineers to grow their technical and leadership skills. You are responsible for the career trajectory and performance of your team.
Technical Authority: Serve as a hands-on technical lead when necessary. You must be able to dive into code reviews, architectural discussions, and system design to ensure the team maintains a high technical bar.
Business Alignment: Partner with business stakeholders to translate their goals into technical roadmaps. Ensure your team’s output is viewed as a "Revenue Center" by delivering trusted, high-impact data products. Define and report Key Performance Indicators and launch impact as part of regular business reviews and contribute to metric-based annual quarterly objectives and key results (OKR) setting.
Solution Strategy: Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
Operational Excellence: Own the reliability, security, and cost-efficiency of the data platform within your domain. Drive a culture of "you build it, you run it."