H&M Group is on a journey to meet and exceed our customers' expectations today and tomorrow. Through collaboration, innovation, and technology we challenge ourselves and the industry. To cater to the individual needs and desires of our millions of customers, our tech organization delivers solutions for the entire value chain for all our brands.   

We are accelerating digitalization and to stay relevant, we need to ensure we have strong leaders in place to bring our best capabilities, innovation ideas and talented technologists to support the transformation of H&M Group.  

As Data Engineer you will work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. Your ultimate goal will be to make data accessible so that organizations can use it to evaluate and optimize their performance. Additionally, you will develop different technical tools/services to enable large scale machine learning solutions. ​As a Data Engineer, your focus is on value creation and growth by making data accessible to the organization, and thus enabling excellent customer experience and business results. 

Responsibilities:

• Design, develop and build real-time data pipelines from a variety of sources (streaming data, APIs, data warehouse, data mesh, messages etc.)​
• Manage project delivery, planning, steering and risk to ensure that the delivery is effective and anchored to value
• Handle product development and management, as well as product risk and issue management
• Assist during application deployment and in needs of support
• Leverage the understanding of software architecture, software development lifecycle and software design patterns to write scalable, maintainable, well-designed and future proof software​
• Manage existing pipelines and create new pipelines from a variety of sources (relational, XML, etc.)​​
• Propose and implement solutions for data pipeline stabilization and data quality checks​
• Coordination with other teams to design optimal patterns for data ingest and egress, as well as lead and coordinate data quality initiatives and troubleshooting​
• Design and build solutions to track data quality, stabilize data pipeline, etc. to ensure reliable operations​
• Manage on-premise hardware
• Handle security governance and management, as well as threat assessment and information risk management

• A high customer and consumer focus
• Ability to establish with clear goals and responsibilities to achieve a high level of performance. 
• Ability to evaluate different options proactively and ability to solve problems in an innovative way.
• Develop new solutions or combine existing methods to create new approaches.​
• Comfortable in working with external product teams to establish the optimal data integration patterns/solutions​
• Basic understanding of Machine Learning

If your experience, skills and ambitions are right for this role, please apply with CV in Engilish.

Please do not send applications to individual email address, due to GDPR, we only accept applications through our career page.

We look forward to receiving your application!

H&M Group is committed to creating a diverse & inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability or age.