Lead Data Engineer

H&M is a fashion brand that offers the latest styles and inspiration, from fashion pieces and unique designer collaborations to affordable wardrobe essentials. Our business idea is fashion & quality at the best price in a sustainable way.

Job Description

A Lead Data Engineer drives technical advancements that benefit the broader organization apart from the current team, leads complex and high-priority data projects, and creates opportunities to share knowledge, elevating the overall expertise of the team. A Lead Data Engineer should have good leadership skills and deep technical expertise, along with the ability to foster a collaborative and innovative engineering culture. They play a key role within the program to implement the unit's data strategy and ensuring the delivery of impactful, scalable data solutions.

Responsibilities

• Lead the design and implementation of robust, scalable data architectures and ETL processes, ensuring best practices.
• Participate in the business requirement gathering and priorities as well as with providing with level complexity and time estimations.
• Work with Product Managers, Solution Architects, and stakeholders to define scope, prioritize tasks, and resolve technical issues.
• Mentor Data Engineers, providing guidance on best practices and technical growth, while creating development plans for the team.
• Use business acumen to execute ad-hoc queries, support product scope, and ensure technical solutions meet business goals.
• Engage actively through cross-functional collaboration, secure business delivery, and foster a culture of innovation and teamwork, aligned with company values.
• Support in interview process to evaluate fellow Data engineers

Qualifications

• Applicable working experience or Degree in any technical field in BSc, BE or a related field.
• Typically 7+ years in data engineering with proven project leadership.
• Good understanding of H&M or equivalent industry operations.
• Strong skills in data engineering, Python or Java, and production-grade software development.
• Familiarity with Agile practices.
• Strong leadership, mentorship, and team-building skills.
• Ability to drive improvements in data engineering and foster a collaborative environment.

Additional information

This is a full-time position based in Stockholm. Apply by sending in your CV in English as soon as possible, but no later than 16-February 2025. We will review and interview candidates ongoing. Due to data policies, we only accept applications through the career page.