Stockholm, Stockholms län, Sweden
Live, first seen by us 21 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Manage and optimise Apache Kafka clusters in production
Build and operate cloud-native solutions on GCP and Kubernetes
Develop scalable data pipelines and integration solutions
Implement Infrastructure-as-Code with Terraform and automate CI/CD deployments
Monitor platform performance, reliability and cost efficiency
Manage and optimise Apache Kafka clusters in production environments
Build and operate cloud-native solutions on Google Cloud Platform (GCP) and Kubernetes
Develop scalable data pipelines, integration solutions and platform services
Implement Infrastructure-as-Code using Terraform and automate deployments through CI/CD pipelines
Monitor platform performance, reliability and cost efficiency
H&M Group is a global company of strong fashion brands and ventures.
In the employer’s words · Read in context
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Day 21
Similar jobs usually come down between day 6 and day 54.
Well past H&M Group’s usual: its jobs come down by about day 7.
From 11,265 similar postings that came down, and 34 of H&M Group’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
→ Experience with dbt and data platform engineering → Strong programming skills in Java, Python or similar languages → Experience working with large-scale enterprise systems and integrations
→ Experience operating Kubernetes-based platforms in production environments → Strong knowledge of GCP services such as BigQuery, Pub/Sub, Dataflow, Cloud Run and Cloud Workflows → Experience with Terraform, GitHub Actions and modern DevOps practices
→ Implement Infrastructure-as-Code using Terraform and automate deployments through CI/CD pipelines → Support data transformation and modelling using dbt → Monitor platform performance, reliability and cost efficiency
→ Experience with Terraform, GitHub Actions and modern DevOps practices → Experience with dbt and data platform engineering → Strong programming skills in Java, Python or similar languages
→ Manage and optimise Apache Kafka clusters in production environments → Build and operate cloud-native solutions on Google Cloud Platform (GCP) and Kubernetes → Develop scalable data pipelines, integration solutions and platform services
→ Design, build and operate enterprise-scale data and event streaming platforms → Manage and optimise Apache Kafka clusters in production environments → Build and operate cloud-native solutions on Google Cloud Platform (GCP) and Kubernetes
We are looking for people with… → Strong experience with Apache Kafka and distributed event-driven architectures → Experience operating Kubernetes-based platforms in production environments
→ Strong experience with Apache Kafka and distributed event-driven architectures → Experience operating Kubernetes-based platforms in production environments → Strong knowledge of GCP services such as BigQuery, Pub/Sub, Dataflow, Cloud Run and Cloud Workflows
→ Develop scalable data pipelines, integration solutions and platform services → Implement Infrastructure-as-Code using Terraform and automate deployments through CI/CD pipelines → Support data transformation and modelling using dbt
→ Strong knowledge of GCP services such as BigQuery, Pub/Sub, Dataflow, Cloud Run and Cloud Workflows → Experience with Terraform, GitHub Actions and modern DevOps practices → Experience with dbt and data platform engineering
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
WHAT YOU’LL DO
As a Senior Platform Engineer, you will help build and operate enterprise-scale data and event streaming platforms that enable hundreds of teams to move, transform and consume data reliably at scale across the organisation.
→ Design, build and operate enterprise-scale data and event streaming platforms
→ Manage and optimise Apache Kafka clusters in production environments
→ Build and operate cloud-native solutions on Google Cloud Platform (GCP) and Kubernetes
→ Develop scalable data pipelines, integration solutions and platform services
→ Implement Infrastructure-as-Code using Terraform and automate deployments through CI/CD pipelines
→ Support data transformation and modelling using dbt
→ Monitor platform performance, reliability and cost efficiency
→ Ensure platform security, compliance and high availability
→ Collaborate with teams across the organisation and provide technical guidance on platform best practices
WHO YOU’LL WORK WITH
You will work closely with engineering teams, architects and product teams across H&M Group. Together, you will design scalable solutions, establish platform best practices and enable teams to build reliable, secure and easy-to-use data products and services.
WHO YOU ARE
We are looking for people with…
→ Strong experience with Apache Kafka and distributed event-driven architectures
→ Experience operating Kubernetes-based platforms in production environments
→ Strong knowledge of GCP services such as BigQuery, Pub/Sub, Dataflow, Cloud Run and Cloud Workflows
→ Experience with Terraform, GitHub Actions and modern DevOps practices
→ Experience with dbt and data platform engineering
→ Strong programming skills in Java, Python or similar languages
→ Experience working with large-scale enterprise systems and integrations
And people who are…
→ Excellent problem-solvers with strong communication and stakeholder management skills
→ Collaborative team players who enjoy working across multiple teams and driving technical excellence
→ Passionate about building reliable, scalable and secure platforms
→ Curious and continuously learning, with an interest in modern cloud and data technologies
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.
→ 25% staff discount across all H&M Group brands, both in stores and online
→ Participation in the H&M Incentive Program (HIP)
→ 30 days holiday
→ Collective agreement including pension and life insurance
→ Wellness allowance of SEK 4,000 per year
→ Access to Benify Benefits Portal
→ Community activities and development opportunities across H&M Group
JOIN US
Join us in building the next generation of enterprise data and integration platforms that power real-time, data-driven experiences across the business.
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.
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Stockholm, Stockholms län, Sweden
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