Data Engineer

Company Description

As one of the world's biggest fashion companies with over 171,000 employees worldwide, H&M presents an exciting and dynamic environment for pursuing a career in the fashion industry. The H&M group comprises nine independent brands: H&M, COS, Weekday, Monki, H&M Home, & Other Stories, ARKET, and Afound. Globally, we have over 5,000 stores in more than 73 markets.

Our values serve as the heart and soul of H&M. They define the qualities needed to work here and guide our way of work. Aiming to shape the future of fashion through people, data, and technology, we respond to a transforming industry driven by customers' technology and sustainability expectations. At the H&M Group, we aim to mould the future of retail by leveraging smart tech and data. Our 75-year history of innovation aids us to collaborate and co-create with engineers and tech specialists around the world to realize our vision.

The H&M group is on an exciting journey to meet and exceed our customers' expectations today and in the future. Rapid technological advancements and new customer behaviours are reshaping the fashion retail industry. To meet the unique needs and desires of our millions of customers, Business Tech will deliver technological solutions for the entire value chain for all our brands.

We are energetic and creative minds who test, experiment, learn, and grow. Guided by our strong values, we are empowered to create, innovate, and deliver. We operate in various areas of technology, including AI, data-driven business development, user experience, and engineering. We convert business challenges into innovative tech solutions, establishing the H&M group as a global leader in the integration of tech, fashion and design.

Job Description

We are currently seeking Data Engineers to help us build a data foundation and data products that will directly affect all H&M Group businesses. We’re looking for candidates who are motivated to develop and design next-generation data and analytics solutions focused on enabling smart self-service capabilities.

You will be part of the Data Engineering Competence area within the AI (Artificial Intelligence), Analytics & Data Domain and work as an individual contributor in one of the data product-teams in Business Tech. This area supports all our brands globally in creating, structuring, and ensuring data is available, comprehensible, and of high quality.

As a data engineer, you will be involved in building data products based on the Data Mesh concept in alignment with a defined target vision and requirements.

We welcome a variety of technical backgrounds and believe that you will enjoy working here if you are passionate about data. In this role, you will need to implement data-intensive solutions for a data-driven organization.

Responsibilities:

• Take end-to-end responsibility for building, optimizing, and supporting existing and new data products towards the defined target vision.
• Champion the DevOps mindset and principles, able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our case, GCP (Google Cloud Platform).
• Ensure that our built data products operate as independent units of deployment and non-functional aspects of the data products adhere to the defined standards for security, scalability, observability, and performance.
• Work closely with the Product Owner and other stakeholders on the vision for existing data products and identifying new data products to support our customer needs.
• Collaborate with product teams both within and outside our domain on topics related to the data mesh concept.
• Assess and drive continuous improvement and reducing technical debt in the teams.
• Maintain expertise in the latest data/analytics and cloud technologies.

Qualifications

• Passion for Data, people, and technology
• 4+ years of work experience as a Data engineer working on modern cloud data platforms/or advanced analytics environments.
• Experience with different data formats (Avro, Parquet)
• Experience with data query languages (SQL or similar)
• Experience in data-centric programming using one or more programming languages Python, Java /or Scala.
• Good understanding of different data modelling techniques and trade-offs
• Knowledge of NoSQL and RDBMS databases
• Collaborative and co-creative mindset with excellent communication skills
• Motivation to work in an environment that allows for independent work and decision making
• Experience working with data visualization tools

If you also have these, it would be a plus:

• Experience with GCP tools – Dataflow, Dataproc, and Bigquery
• Experience with data processing framework – Beam, Spark, Hive, Flink
• Business understanding of the retail industry

Your role will be important in this transformation; therefore, we believe you are flexible, stress-resistant, and able to operate in an environment that isn’t fully formalized yet.

Additional Information

What we offer!
In addition to obvious perks such as a staff discount card, flexible work-life balance, learning communities, wellness benefits, and parental benefits, joining H&M means becoming part of a unique value-driven culture, a broad tech network, and a community where you can be yourself. There are countless opportunities to experiment and grow in any direction you choose, and when you grow, we grow. Being a significant player gives us innumerable opportunities to make real impacts and shape the future.

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