Data Architect

2 days ago


Stockholm, Stockholm, Sweden H & M Hennes & Mauritz Gbc AB Full time

About H & M

H&M is a fashion brand that offers the latest styles and inspiration, from fashion pieces and unique designer collaborations to affordable wardrobe essentials. Our business idea is built on providing fashion & quality at the best price in a sustainable way.

Job Description

We are looking for an experienced Data Engineer who thrives on solving complex challenges and building impactful solutions. You will play a critical role in creating data products that drive business decisions across all H&M.

You'll design and develop next-generation data and analytics solutions, focusing on enabling smart, self-service capabilities. This role involves contributing to one of the largest data transformation initiatives within the company, working with Data Mesh concepts to build data products that meet global needs.

About the Team

Our team is part of the Data Engineering unit within our tech center, AI, Analytics & Data. The area supports all our brands globally to create, structure, guard and ensure data is available, understandable and of high quality.

Key Responsibilities

  1. Develop and optimize complex data pipelines, ensuring smooth data flow across multiple domains.
  2. Utilize advanced SQL querying techniques to extract, manipulate, and analyze data for various business needs.
  3. Use programming languages such as Java or Python to write classes, functions, and apply object-oriented programming principles, along with basic unit testing.
  4. Guide junior Data Engineers on tasks and best practices, effectively delegating to promote team growth.
  5. Understand business issues, create data-driven solutions, and present them to stakeholders, ensuring alignment with goals.
  6. Identify optimization opportunities in data systems, plan implementations, and develop risk mitigation strategies.
  7. Work with stakeholders and teams to drive data initiatives, providing leadership and contributing to the organization's data strategy.

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