i Stockholm

Do you want to work with the full spectrum of retail machine learning use cases in production? Are you interested in working with one of the largest data sets in the fashion industry, with both online and worldwide store data? Come join us!

The H&M group is on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviors are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech will deliver technological solutions for the entire value chain for all our brands.

In Business Tech, we will continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology. We explore new ways of working, have a customer focused mindset, embrace our strong values and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world 

About the role

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.

Advanced analytics is one of the key focus areas of the H&M group, which creates an incredible environment for learning and developing cutting edge technology at scale. We have one of the industry’s biggest data sets and we are combining it with advanced analytics to unlock value across the full fashion value-chain.

As a Data Engineer at H&MxAI, your mission is to work alongside with Machine Learning Engineers and Data Scientists in the team to develop scalable and production ready Advanced Analytics and machine learning software product. In additional, you will also be able to develop different technical enablement to enable large scale machine learning solutions.

We offer you an exceptional opportunity for personal development, in which you will navigate through the business’ most complex problems using advanced analytics as your tool for improvements. Above all, your work will be part of shaping the future fashion industry.

The position as an Data Engineer is a fun challenge with plenty of responsibility, in which you will work in a fast-paced dynamic environment with some of the best people in advanced analytics and AI.

At H&M, we believe in people and work as one team. The pace is high and we always challenge each other to think creatively. To succeed in this position, we believe that you have a pragmatic workstyle and drive towards solution with focus on delivering results, while building strong and long lasting relationships.

You thrive when developing great people, not just great products.

From a technology perspective, you will work within a cloud environment and identify the most suitable tools, technology together with the team. Also, we are working on end to end machine learning projects in an agile setup, and we hope you will enjoy the journey of taking a use case from prototype to fully production setup.

What you will do

• You will work together with Data Scientists and Machine Learning Engineers in an agile team, bring the state of art machine learning model into production. Your responsibility will be engineering focused, like how to develop pipelines to source, clean and transform data, be responsible for data quality, scale out the model training and serving, A/B test to evaluate model performance, automate e2e pipeline, manage and automate the infrastructure and deployment, integrate with existing business IT solution, etc.
• You will develop scalable data assets that can be reused by different consumers, using a variety of access methods
• You will also develop different reusable technical enablement to speed up Advanced Analytics and AI product development, for example advanced data profiling, data versioning, automate machine learning model training, lifecycle management of machine learning model and much more
• Leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof software

We are looking for you who

• An experienced Data Engineer (2 years+) with experience of develop and orchestrate complex data pipelines in both batch and stream fashion, onboard data from different source system, data cleaning and transformation. Understand the best practice and common design pattern of big data processing
• 3 years+ experience of software development, with strong mindset of building scalable and high-quality software product. You understand the challenge of design and development large scale distributed system
• Passionate about big data and machine learning technology. Rich experience in big data technology, especially Spark and the Hadoop ecosystem
• Excellent programming skills in either Python, Java or Scala. Not only familiar with language itself, but also familiar with best practices, code structure, design patterns, development workflow etc
• Hands on experience in DevOps and automate software development process, like familiar with tools like Jenkins, Docker and Kubernetes, etc
• Experienced in one of cloud solution like AWS, Azure or GCP would be a big plus
• A good team player in an agile team, you are willing to take different kinds of tasks to meet sprint commitment
• Fluent in English (Swedish is a merit)
  

What we can offer
This is a fulltime position with placement in Stockholm.
At H&M we have a strong, value-driven culture characterized by believing in people, teamwork and an entrepreneurial spirit. Here you can be yourself and have room to grow. You’ll be part of an important project at H&M with significant opportunities to influence and make a difference. With the right mindset and ambition, you’ll find plenty of room to grow. We welcome your application regardless of gender, age, gender expressions, sexual orientation, disabilities, religious beliefs, origin or background.

Practical info
We review applications earliest after the latest application date due to vacation time, please apply with CV and cover letter as soon as possible but at the latest 16th of August 2020. If you have any questions about the role, please contact .

We love code! If you have contributed to Github project(s), also send those to us together with the CV. We are more than happy to take a look!