Data Engineer within Advanced Analytics

Are you a Data Engineer eager to shape the future of one of the leading fashion retailers in Advanced analytics and AI? Come join us!


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. In Business Tech we continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology. We are on a journey, transforming the fashion and design industry towards a future where change is continuous, and a flexible mindset is needed. Through collaboration and innovation, we develop products which have a meaningful impact on customers all over the world.


About the Position
Advanced analytics and data engineering is a focus area for the whole H&M Group. It is already the backbone of several machine learning products used throughout the value chain, and the importance of this area and related roles will only increase as we scale. In that journey, we count on talented people, across multiple disciplines, and with varied background, just like yourself.
In the context of data processing, we are now looking for our next data engineer, who will help us take our services to the next maturity level. You will be working in an agile team, building data pipelines and accompanying services related to data quality and data processing. Your work location is central Stockholm, in a brand new and laid-back office.


What you will do
Develop reusable modules for data processing, using modern software engineering practices across unit testing, continuous integration, packaging, documentation
Be an active team player in proposing improvements, participating in code reviews and planning our roadmap
Leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof software
Develop data processing pipelines using Python, SQL, Airflow and Spark



What we appreciate
We appreciate team members who take initiative and are active participants in our agile ceremonies, pair programming and technical workshops with the team
You strive for excellence in code and in an automation
Good communication skills. We like clear and easy to understand stories, comments, pull-requests, and reviews. Slides are not important
Fluent in English



Technical qualifications
Extensive hands-on experience in software development, can apply principles such as DRY, SOLID, idempotency etc.
Experience in coding and refactoring for modularity, testability and overall robustness
Comfortable in scripting and development in Linux-based environments
Experience in developing Python-based applications is required, but your overall experience with programming is equally valued
Experience with databases querying and modelling in traditional relational databases and preferably in modern columnar-based formats such as Parquet
Experience with Docker and Kubernetes is a merit
Experience with batch and stream data processing, using Spark is a merit



About 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, we deliver technological solutions for the entire value chain for all our brands.
The best ideas evolve when great minds with different perspectives get together. We’re all on the same team in a global environment and we learn from each other. There are endless opportunities to grow – your development is all up to you!


To read more about H&M as an employer, we highly encourage you to read the content at https://career.hm.com/content/hmcareer/en_se.html


Do you think we are a match? We hope so!
Please apply with CV and personal letter by the 30st of April at the latest. For questions and further information about this position, please contact Half Scheidl at half.scheidl@hm.com
For this position, we are not looking for cooperation with recruiting companies and headhunters.
 


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