Data Engineer
About this role
Make your next move matter
Working at Mölnlycke means joining a global, purpose-driven company where data is a critical enabler of better healthcare outcomes.
Our Unified Data Platform (UDP) supports analytics, operational reporting, and data-driven decision-making across the organisation. As the platform expands to support more domains, higher volumes, and new capabilities, we are strengthening our Data Engineering team.
If you enjoy building scalable, reliable, and automated data pipelines, working with modern cloud technologies, and collaborating closely with analytics and business stakeholders, this role offers both challenge and impact.
Mölnlycke is now looking for a Data Engineer, based at our global headquarters in Gothenburg, Sweden, reporting within the Analytics & Data Platform team.
In this role
You will be part of a high-performing Data Engineering team responsible for designing, building, and operating data pipelines that power analytics, operational use cases, and enterprise platforms such as MDM. This is a hands-on engineering role with strong collaboration across Data Engineering, Analytics, Architecture, and business domains.
What you’ll get
Work with a modern cloud data stack: Snowflake, dbt, Azure Data Factory, Python, and emerging agent-based automation
The opportunity to shape and scale a strategic enterprise data platform
Exposure to a wide range of enterprise systems (SAP, Salesforce, Profisee MDM, other operational sources)
A collaborative, learning-focused engineering culture
A permanent position with competitive benefits, wellbeing initiatives, and flexible working options
The chance to deliver data solutions that support better healthcare globally
What you’ll do
Responsibilities
- Data Engineering & Pipelines
- Design, build, and optimise scalable ELT/ETL pipelines using Snowflake, dbt, and Azure Data Factory
- Develop high-quality, tested, and maintainable SQL and transformation logic
- Use Python for automation, orchestration enhancem