Senior Data Engineer

H&M

H&M is a renowned fashion brand committed to delivering high-quality, affordable fashion with sustainability. They seek a Senior Data Engineer to implement a new data foundation, contributing to the company's significant data transformation. This role is central to designing data products that support decision-making across the organization, leveraging the latest in Data Mesh concepts.

In this role you can expect to have the responsibilities:

• Develop and optimize complex data pipelines for seamless data flow.
• Extract, manipulate, and analyze data using SQL.
• Employ programming languages like Java or Python, incorporating object-oriented principles and unit testing.
• Mentor junior Data Engineers and delegate effectively.
• Create data-driven solutions and present them to stakeholders.
• Identify optimization opportunities in data systems and develop strategies.
• Drive data initiatives and contribute to the company’s data strategy.

This role comes with the following benefits:

• Opportunity to work in an innovative and transformational environment.

This role requires you to have:

• Degree in a relevant technical field.
• 3-6 years of experience in Data Engineering with proficiency in SQL and Python.
• Skills in data modelling, warehousing, and pipeline development.
• Understanding of software development principles, Agile practices, and cloud technologies.
• Collaboration and excellent communication skills.
• Experience with data visualization tools.

You would benefit from having:

• Experience with GCP tools such as Bigquery and Cloud functions.
• Familiarity with data processing frameworks like Spark or Beam.
• Understanding of the retail industry.

This full-time role is based in Stockholm, with a focus on contributing to dynamic changes and transformation within H&M’s data systems.