Are you a creative and experienced Data Engineer, passionate about solving problems, building new stuff and always have something new to learn? We are looking for you to join our AI, Analytics and Data domain. 

Shaping the future of fashion with people, data, and tech - the fashion and retail industries are going through a transformation, driven by customers technology and sustainability expectations. At H&M Group, we want to shape the future of retail by harnessing the power of smart tech and data. With our 74-year history of innovation, we understand the need to collaborate and co-create with engineers and tech specialists around the world to achieve our vision.

What we offer!    
Besides the obvious perks such as staff discount card, flexible work life, learning communities, wellness benefits, parental benefits etc. you are joining a unique value driven culture, a large tech network and community where you can be yourself. There are endless opportunities to experiment and grow in any direction that you want and when you grow, we grow. Being a major player gives us countless opportunities to make a real impact and shape the future. 

We love design, and we love technology! Our diversity makes us strong and creates an inclusive and welcoming workplace where everyone’s individuality is highly valued. We are looking for Data Engineers who want to work in a modern organization, where agility, automation and cloud are non-negotiables.  

Our product area is called Analytics and Data Platforms and our teams are responsible for all data processing, reporting and advanced analytics capabilities across the whole value chain. This means tons of data and unlimited learning opportunities. We welcome applications from varied backgrounds in data and analytics.  

About the position 

You will work with one of our Analytics team. You and the team leverage modern software engineering principles and techniques to build robust data solutions for a varied spectrum of analysts. You appreciate working in autonomous teams, have a hands-on attitude and believe that no challenge is too big if we have the right support and tools in place.

We appreciate a multitude of technical backgrounds, but we believe you will enjoy working here if you’re passionate about data and have worked hands-on with data warehousing and analytics in the past with modern open-source data processing frameworks and Azure/GCP-based data integration services. We appreciate your solid foundations in database principles and/or software engineering, as these go hand-in-hand when building robust BI and advanced analytics solutions.

We believe that you are a true team player, solution-driven and open-minded, with a passion for continuous improvement and automation. You are collaborative and you have the ability to build relations with different types of people and roles. 

We are looking for you who 

• Are triggered by developing and designing the next generation data- and analytics-solution with focus on enabling smart self-service capabilities
• have a DevOps mindset and embrace Engineering Principles, which emphasizes automation, continuous integration, and end-to-end ownership of solutions
• Want to work in a small, smart, agile team – designing, developing and owning the full solution
• Are motivated by analyzing and understanding the business needs, translating it to technical solutions, assuring that both business and technical needs are met

• Experience in Google Cloud Platform 
• Experience of designing, development and testing in the field of Data & Analytics
• Experience in PowerShell scripting
• Experience in SQL
• Experience in object-oriented programming languages (Python)
• Experience in Big Data technologies (e.g. Spark)
• Experience in Big Data file formats (e.g. Parquet)
• Solid understanding of Data Modeling. Experience in modeling and developing tabular cubes, SSAS. Experience also in composite models is a plus.
• Experiences in working with Power BI
• Experience in agile methodologies
• Experience from successful delivery of high-quality outcomes
• Fluent in English both written and verbal
• Passion for people and technology

Sounds interesting? Great! Please apply with your CV. Due to GDPR, we don't accept applications through email.

Do you think we are a match? We hope so!

This position is placed in Stockholm, Sweden.

#LI-DNI