Senior Data Engineer at H&M Group

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, GCP, SQL, Big Data, DBT, ETL, Terraform, CI/CD, Git, Python, Data Warehousing, Data Modeling, Performance Optimization, Collaboration, Communication

Industry

Retail

Description

Job Description WHAT YOU'LL DO In this role, you will design and implement data-intensive solutions that power a truly data-driven organization. As a Senior Data Engineer, you will build data products aligned with our Data Mesh vision and target architecture. We value diverse technical backgrounds and believe you will thrive here if you’re passionate about turning data into impact. Design, build, and maintain efficient and reliable data pipelines. Develop and optimize data models for analytics and reporting. Be a champion of DevOps mindset and principles, in our context, it is GCP (Google Cloud Platform). Collaborate with the Product Manager and Business Stakeholders to deliver high-impact data solutions. Ensure data quality, integrity, and security across platforms. Work with modern data technologies on a Cloud platform (e.g., GCP). WHO YOU’LL WORK WITH You will work within the Data Engineering Competence Area in the AI, Analytics & Data Domain, collaborating closely with Product Managers, data product teams, and stakeholders across multiple H&M brands to enable seamless data sharing and integration in a Data Mesh environment. You will also partner with cross-functional teams globally to ensure data products meet business needs and deliver high-quality, reliable data solutions. WHO YOU ARE We are looking for people with… 4+ years of hands-on experience as a Data Engineer on a cloud platform (preferably GCP) or in advanced analytics environments Strong proficiency in SQL, with the ability to write and optimize complex queries Proven experience with big data, DBT, and ETL frameworks Experience with GCP services (e.g., BigQuery, Cloud Functions, Pub/Sub, etc.) Hands-on experience with Terraform, CI/CD pipelines and Git-workflow Proficiency in Python for data processing and automation Exposure to analytics workflows and data-driven product development Solid understanding of data warehousing, data modeling, and performance optimization A collaborative mindset with strong communication skills Good if you have: Experience with SSAS or OLAP Cubes Business understanding of retail industry WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. All our employees are included in our H&M Incentive Program (HIP) All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET. 30 days holiday Collective agreement including pension and life insurance Wellness benefit of 4000 SEK/year Access to Benifex Benefits Portal Tech Academy Communities with activities JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

Responsibilities

Design and implement data-intensive solutions that support a data-driven organization. Build data products aligned with the Data Mesh vision and ensure data quality, integrity, and security across platforms.