Data Engineer (Senior) job opportunity at H&M.

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Date2026-04-23T15:39:57.575Z bot
H&M Data Engineer (Senior)
Experience: General
Pattern: Full-time
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degreeGeneral
loacation 1 New Oxford Street, London, England, United Kingdom
loacation 1 New Oxford S..........United Kingdom
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Job DescriptionIf you are passionate about data and eager to tackle some of the most interesting AI, analytics and data use cases in the fashion retail industry, COS is the place for you!   We are looking for an experienced data engineer who likes to resolve complex issues and choose the best course of action. In this exciting and critical role, you will help us build data products that directly impacts business spanning all global COS. You will join COS data engineering team within COS AI, analytics and data (aiad) function.  We appreciate a multitude of technical backgrounds, and we believe you will enjoy working here if you are passionate about data. In this role, you will be required to implement data-intensive solutions for a data-driven organization.  What you will do:Take end-to-end responsibility to build, optimize and support of existing and new data products towards the defined target vision Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).    Ensure that our built data products work as independent units of deployment and non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance.  Develop and optimize complex data pipelines, ensuring smooth data flow across multiple business domains Understand business issues, create data-driven solutions and present them to stakeholders, ensuring alignment with the business goals      Work close to the stakeholders around vision for existing data products and identifying new data products to support our business needs. Work with product teams within COS and across H&M group around topics that relate to our data modernization initiative.  Evaluate and drive continuous improvement and reducing technical debt in the teams Maintain expertise in latest AI, analytics/data and cloud technologies 

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