Data Engineer - Exploratory analytics team

Company Description


At H&M, we are on an exciting journey where fashion and tech make magic together. As rapid technological development and new customer behaviors are transforming the fashion retail industry, our mission is to meet and exceed our customers' expectations. All while keeping in mind sustainable practices. We know that the best ideas evolve when great minds with different backgrounds and perspectives get together.
At H&M, we are all on the same team in a global environment where we learn from each other and grow together. We live our values and know that sharing knowledge is the best way to continuously improve our ways of working and creating.
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. H&M Group – Business Tech.
There are countless reasons for you to consider joining H&M, but here is a list we think summarizes the most important ones:
There are tremendous amounts of growth opportunities: we have many courses and workshops running so that you can become your best-self;
You will be surrounded by incredible colleagues from all around the globe;
You will experience what being part of a large organization means;
The opportunity to always be on the forefront of tech and fashion

H&M Business Tech is the global function delivering innovative technological solutions for the entire value chain of all our brands.




Job Description


We are looking for a Data Engineer to join our agile team in our product area Analytics and Data Platforms which focuses on data processing, reporting and advanced analytics capabilities across the whole value chain. Basically, lots of data to work with and unlimited learning opportunities.
If you love the idea of joining a modern retail organization that cares about doing good, mail us. If you are detail-oriented with excellent communication and organizational skills, mail us again!
About the position
You will be a part of the Exploratory Analytics team where our mission is to enable fast and limitless analytics using cutting edge cloud technology. Our product is a 100% cloud based.
We believe you will enjoy working here if you have strong experience with analytics, either in modern and cloud based data warehouses, or with modern open-source data processing frameworks such as Spark. You preferably have solid foundations in database principles and/or software engineering, as these go hand-in-hand when building robust, cloud-based solution.
You will work in the Exploratory Analytics team, a team set out with the mission to enable fast and limitless analytics using cutting edge cloud technology. Our product is a 100% cloud based.
You will be close to the business to provide them with the data in low granularity data. We currently work with the latest Azure cloud technology and are very curious and open for different solutions to attend our user’s needs.
Ideally you enjoy to
Collaborate with other engineers and specialists in building data-driven solutions that are laser-focused on business problems and our customers
Build products in a variation of technologies and with varied focus (reporting, self-service analytics, large-scale data processing)
Be a champion of DevOps mindset and principles, which emphasizes on automation, continuous integration, and end-to-end ownership of solutions
Use your expertise and creativity to solve problems using modern technologies and software engineering, in the areas of data quality, testing, deployment and monitoring
Make an impact and take on big complex issues
Be around people and learn about technology
Discuss solutions with our users to attend their needs

Qualifications
3+ years’ experience in software development and testing in the field of Data & Analytics specifically working with Data Warehouses (Experience in Azure Synapse is a big merit)
Experience in Azure cloud tech-stack (Knowledge in GCP is a plus)
Experience in Big Data file formats (e.g., Avro, Parquet)
Experience in working with Agile methodologies
Expertise in data base programming languages (SQL, PL/SQL, other for relational databases)
Expertise in object-oriented programming languages such as Python
Fluency in English (written and verbal)
Good communication skills





Additional Information


Practical info
Please apply with CV and cover letter as soon as possible
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!
Do you think we are a match? We hope so!
This position is placed in Stockholm, Sweden.