Data Engineer

Company Description

At H&M, we are on an exciting journey where fashion and tech make magic together.

As rapid technological developments 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. We live our values and know that sharing knowledge is the best way to continuously improve our ways of working and creating.

H&M Group is 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.

Here are 4 reasons to consider joining H&M:

• 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

Job Description

This position is based in Stockholm, Sweden.

Does big data with unlimited learning opportunities sound interesting?

Look no further, we are looking for a Data Engineer to join our product area, Analytics and Data Platforms. The person will focus on data processing reporting and advanced analytics capabilities across the whole value chain.

About the position & team

You will be a part of Omni Expansion Analytics team where we like to leverage modern data warehouse processes and techniques to build robust solutions. We are a self-managing Scrum team that has a hands-on attitude and likes to take on new challenges that add business value.

We appreciate a multitude of technical backgrounds, and 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.

We appreciate your solid foundations in database principles and/or software engineering, as these go together when building robust BI and advanced analytics solutions.

Qualifications

Ideally you have:

5+ years experience in software development and testing in the field of Data & Analytics specifically working with Data Warehouses, this includes:

• A DevOps mindset embracing Engineering Principles, which emphasizes on automation, continuous integration and end-to-end ownership of solutions

• Experience in Agile and Scrum Frameworks

• Experience from successful delivery of high-quality outcomes

• Experience in SQL Server Analysis Services / Azure Analysis Services (Tabular Engine / DAX)

• Experience working in Microsoft Azure Front End Environment / PowerShell

(Resource groups, storage accounts, automation ND)

• Experience working with SQL Server

• Experience working with Source Code Control: Azure DevOps Repository / GIT (Pipelines test is bonus)

Big Plus if you have:

• Experience in Big Data file formats (Avro, Parquet)

• Experience in coding object-oriented programming languages such as Python

• Experience in Google Cloud Platform

Additional Information

Do 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!

Sounds interesting? Great! Kindly apply with a cover letter and CV.

Due to GDPR, we don't accept applications through email.