Company Description

H&M Group is a family of brands; H&M, COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET and Afound. At H&M Group, our people are the driving force behind our commitment to creating meaningful growth and more sustainable lifestyles. Help us re-imagine fashion and together we will re-shape our industry. Learn more about H&M Group here.  

Job Description

Are you a Director of Data Engineering with a desire to make an impact and steer one of H&M’s most crucial sectors? If you are ready to take a pivotal role in shaping the future of retail, we have the perfect role for you.  

As the Area Lead for Data Engineering within our Supply Chain & Enterprise division, you will have considerable influence across the entire organization. Your role will be central to our company-wide programs, directly impacting a key area of H&M. You will engage with a multitude of stakeholders, fostering strong relationships that are the cornerstone of our collaborative culture. Your goal is to embody the principles of servant leadership, where a significant portion of your role will be dedicated to people management. The supply chain is the heart of H&M, and your leadership will ensure its rhythm is strong and steady.  

Key responsibilities:

• Lead and mentor a team of Engineering Managers, providing strategic guidance, setting performance goals, and fostering a collaborative and innovative environment 

• Collaborate with stakeholders to define the strategic direction, aligning it with business goals and customer needs 

• Define high level KPIs and targets for the area  

• Driving program enhancements and optimizing delivery outcomes

Qualifications

• Bachelor's or master's degree in computer science, Engineering, or a related field 

• At least 8 years of experience within Data Engineering or similar areas

• A background in supply chain is highly beneficial  

• Proven experience in leadership roles within data engineering. Preferably experience in leading managers.  

• Strong proficiency in SQL, Python, and big data technologies (e.g., Hadoop, Spark)  

• Familiarity with cloud services (GCP, AWS, Azure) and data warehousing solutions 

• Excellent problem-solving and project management skills  

What you need to succeed: 

• A passion for data and its potential to drive business success 

• The ability to inspire and lead teams towards achieving technical excellence  

• Strong communication skills to effectively collaborate with stakeholders  

• A commitment to staying current with the latest industry trends and technologies  

If you are a strategic thinker with a track record of leading successful data engineering projects, we encourage you to apply for this exciting opportunity to shape the future of data within our company.

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 30-June 2024. We will review and interview candidates ongoing. Due to data policies, we only accept applications through the career page.