COS Data Engineer (Senior)

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Company Description

COS offers a wardrobe of ready-to-wear and accessories rooted in exceptional quality and lasting design. The creative soul of the brand is fuelled by a deep connection to modern culture, dynamic global cities and compelling fashion movements. With an emphasis on expert craftsmanship, innovation and materiality, collections are created with a mindful approach, seamlessly blending contemporary and timeless.

Job Description

If 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 impact 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 Google Cloud Platform (GCP)
• 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
• Collaborate with stakeholders around vision for existing data products and identify new data products to support business needs
• Work with product teams within COS and across H&M group around topics related to data modernization
• Evaluate and drive continuous improvement and reduce technical debt in the teams
• Maintain expertise in latest AI, analytics/data and cloud technologies

Qualifications

Alignment to our company values is important. Our values are open-minded, curious, different, constant improvement, and empowering and trusting you to take ownership.

What You Need To Succeed

• Extensive work experience including hands-on as either: Data engineer on modern cloud data platforms or advanced analytics environments; Software Engineer with cloud technologies and infrastructure
• Experience in different data formats (Avro, Parquet)
• Experience in data query languages (SQL or similar)
• Experience in data-centric programming using Python, Java and/or Scala
• Understanding of data modelling techniques and trade-offs
• Understanding of Data Lakes, Data Mesh principles, domain-oriented data ownership and governance
• Knowledge of NoSQL and RDBMS databases
• Collaborative and co-creative mindset with excellent communication skills
• Motivated to work in an environment where you can work and take decisions independently
• Experience with data visualization tools (Power BI, Looker Studio, etc.)
• Experience with DBT for data transformation and GCP tools (Dataflow, BigQuery)
• GCP (or Azure) data engineering certification is a plus
• Fluent in English (written and spoken)

Additional Information

This is a full-time permanent contract based at our Head Office in London.

Benefits

We offer attractive benefits with extensive development opportunities. All employees receive a 25% staff discount usable on all H&M Group brands in stores and online.

• 20 days holiday
• Discounts on everyday brands and leisure activities
• Retail Trust membership
• Pension scheme
• Discounted gym membership
• Cycle to work scheme

Inclusion & Diversity

We are committed to creating inclusive, diverse and equitable workplaces. Diversity of experiences and perspectives is valued in our recruitment process. In this role you will have some flexibility to work remotely; however, due to cross-department collaboration, approx. 3 days per week presence in the office is preferred.

Job Location

London, United Kingdom (Head Office) with remote-friendly options as appropriate to role.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Advertising Services

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