Data Engineering Lead

1 week ago


Stockholm, Stockholm, Sweden H & M Hennes & Mauritz Gbc AB Full time
About Us
H&M is a fast-growing global fashion brand that operates in over 70 countries. We are committed to making fashion accessible to everyone while promoting sustainability, quality, and affordability. Our vision is to be a leader in the fashion industry, driving business growth while ensuring the well-being of our customers, employees, and the planet.

Job Summary
We are seeking an experienced Data Engineer to join our team in Stockholm. As a Senior Data Engineer, you will design and develop next-generation data and analytics solutions to drive business decisions across all H&M brands. You will work closely with cross-functional teams to build impactful data products and ensure smooth data flow across multiple domains.

Key Responsibilities
- Develop and optimize complex data pipelines to ensure smooth data flow across multiple domains
- Utilize complex SQL querying techniques to extract, manipulate, and analyze data for various business needs
- Guide junior Data Engineers on tasks and best practices to promote team growth
- Work with stakeholders and teams to drive data initiatives and provide leadership
- Contribute to the organization's data strategy and drive business growth

Requirements
- Relevant academic degree in any technical field
- 3-6 years of working experience in Data Engineering with strong experience in SQL, Python, or similar languages
- Proficient in data modelling, warehousing, pipeline development, and documentation
- Experience with production methodologies, software development principles, and Agile practices
- Understanding of business needs related to the product scope
- Deep understanding of cloud technologies and cloud development, as well as ability to select appropriate (cost-effective) tools for different tasks
- Excellent communication skills and collaborative mindset

What We Offer
- Opportunity to work with a leading global fashion brand and contribute to its transformation
- Collaborative and dynamic work environment with opportunities for growth and professional development
- Flexible work arrangements and remote work options
- Access to cutting-edge technologies and tools for data engineering and analytics

How to Apply
Please submit your application, including your CV in English, as soon as possible

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