Senior Data Platform Engineer

Company Description

H&M is on a journey to meet and exceed our customers' expectations today and tomorrow. Through collaboration, innovation, and technology, we challenge ourselves and the industry. To cater to the individual needs and desires of our millions of customers, our tech organization delivers solutions for the entire value chain for all our brands. We are accelerating digitalization, and to stay relevant, we need to ensure we have strong leaders in place to bring our best capabilities, innovation ideas, and talented technologists to support the transformation of H&M. 
 
Would you like to work in an internationally agile-driven environment on solutions used in various parts of the world? Do you consider yourself a proactive, self-driven colleague who can take full ownership of the initiative working both independently and as part of a group? 

Job Description

At H&M, our AI, Analytics, and Data department is at the cutting edge of data-driven decision-making. We leverage advanced analytics, AI, and machine learning to tackle complex challenges and drive business growth. Our team is dynamic, innovative, and dedicated to pushing the boundaries of what’s possible with data.

We are seeking a skilled Data Platform Engineer with a strong background in Google Cloud Platform (GCP) services and DevOps tools such as Terraform and GitHub Actions. The ideal candidate will be responsible for designing, building, and maintaining our data infrastructure, ensuring it is scalable, reliable, and secure. 

Key Responsibilities: 

• Design, develop, and manage scalable data platforms on GCP. 
• Implement and manage infrastructure as code using Terraform. 
• Automate deployment processes using GitHub Actions and other CI/CD tools. 
• Develop and maintain data transformation workflows using dbt. 
• Collaborate with data scientists, analysts, and other engineers to ensure data availability and quality. 
• Monitor and optimize data pipelines for performance and cost-efficiency. 
• Ensure data security and compliance with relevant regulations. 
• Troubleshoot and resolve issues related to data infrastructure. 

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field. 
• Experience with monitoring and logging tools (Prometheus, Grafana). 
• Familiarity with data governance and security best practices. 
• Knowledge of containerization and orchestration tools (Docker, Kubernetes). 

Preferred Qualifications: 

• Experience with other cloud platforms (AWS, Azure). 
• Strong communication and collaboration skills. 
• Excellent problem-solving skills and attention to detail. 
• Strong programming skills in Python, Java, or similar languages. 
• Solid understanding of DevOps principles and practices. 
• Experience with dbt for data transformation. 
• Experience with CI/CD tools, particularly GitHub Actions. 
• Proficiency in Terraform for infrastructure as code. 
• Strong expertise in GCP services (BigQuery, Cloud Storage, Dataflow, etc.). 
• Proven experience as a Data Platform Engineer or similar role.

Additional Information

This is a fulltime position with placement in Stockholm. If your experience, skills, and ambitions are right for this role, please apply with CV in English. 
 
Please do not send applications to individual email address, due to GDPR, we only accept applications through our career page. We look forward to receiving your application! 
 
H&M is committed to creating a diverse & inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability, or age.