Data Engineer - Exploratory analytics team

Company Description
Are you a creative data engineer passionate about solving problems, building new stuff and always have something new to learn? We are looking for data engineers to join our Exploratory analytics team within AI, Analytics and Data domain.
We are on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviours are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech delivers 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!
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.


Job Description
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.
About the position
We appreciate a multitude of technical backgrounds, but we believe you enjoy working here if you’re passionate about data and have worked hands-on with analytics in the past, either in modern and cloud based data warehouses or with modern open-source data processing frameworks such as Spark. We appreciate your 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 of tech savvy members with the mission to enable fast and limitless analytics using cutting edge cloud technology.
We currently work with the latest Azure cloud technology and we are very curious and open for different solutions to attend our user’s needs.
We are looking for you who
Collaborate with other engineers and specialists in building data-driven solutions that have laser-focus on business problems and our customers
Build products in a varied of technologies and with varied focus (reporting, self-service analytics, large-scale data processing)
Be a champion of DevOps mindset and principles, which emphasizes 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





Qualifications
5+ years’ experience of software development and testing in the field of Data & Analytics
Experience in Azure cloud tech-stack (Knowledge in GCP is a plus)
Experience in Big Data technologies (Presto, Hive, Spark)
Experience in Big Data file formats (e.g., Avro, Parquet)
Expert in data base programming languages (SQL, PL/SQL, other for relational databases)
Expert in object-oriented programming languages such as Python
Experienced in agile methodologies
Fluent in English both written and verbal
You want to make an impact and take on big complex issues
Experience from successful delivery of high-quality outcomes
Passion for people and interest for technology





Additional Information
Practical info
Please apply with CV and cover letter as soon as possible but at the LATEST 7th of October 2021.
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.