Are you ready to make a real impact within a global company and help shaping our technological future? Mölnlycke is accelerating its value creation by leveraging digitalization with new technologies, data, and a newly created Digital Enablement organisation.

We are seeking a Data Engineer to design and develop robust, scalable, high-performance data pipelines for data solutions! This is a great opportunity to be a part of and contribute to our digital journey!

You will be stationed out of our headquarters in Gothenburg and very soon at our new office at GoCo Health Innovation City, a world-class innovation cluster for health!

About the job

As part of Mölnlycke's next level of growth, we are accelerating our value creation, leveraging digitalization with new technologies, data and a newly created internal IT organization. Looking to deliver increased customer focus, enhanced business collaboration and the adoption of a new DevOps operating model with end-to-end ownership of technology solutions across the organisation.

This is a chance to have a real tangible impact within a global business and see how your work directly contributes to the shape of our technological future. You will be empowered to make a true difference, not only for Mölnlycke, but also for patients and health care professionals across the globe.

In this position you'll participate in every stage of the data product development lifecycle, i.e. from requirements gathering with product owners, through development with architects, AI/ML & software engineers, to production deployments with DevOps.

These are the key accountabilities for the role

• Design and develop robust, scalable, high-performance data pipelines for data solutions such as AI/ML models, having profiled, explored, evaluated, and cleansed data, while developing solutions, e.g. scripts, to handle various data quality issues.
• Work closely with AI COE and Digital New Ventures to turn working prototypes into well-abstracted, reusable modules to create scalable data solutions for business problems.
• Define label specifications and plan and manage labelling activities in line with project timelines.
• Identify opportunities for better data modelling, abstraction, testing, internal tooling, and other software development practices to optimise efficiencies in data projects.
• Provide constructive feedback to Analytics Platform team on how to improve data ingestion and integration.
• Estimate efforts required to build data pipelines after understanding the data landscape and complexity.
• Visualise and translate data analysis outputs into easily understandable, actionable insights for the stakeholders and develop clear, concise communication to explain relevant technical concepts and analysis outputs to the business stakeholders.
• Research and develop new data engineering techniques while helping define a data ecosystem covering data infrastructure, frameworks, open-source tools, data science languages, etc.
• Stay up-to-date with the latest development in data engineering by attending conferences and contribute to advancing thought leadership.

 If all that sounds appealing, then here is what we would like you to demonstrate

Essential

• Bachelor’s or master’s degree in a STEM field such as Computer Science, Engineering, Statistics, or Mathematics.
• 3 + years of object-oriented programming experience in a high-level language like Python, Java, C#, and Scala, with a good understanding of coding practices and version control software such as Git.
• 3+ years’ experience in building automated data pipelines
• Strong analytical skills and ability to optimise the data and modelling process.
• Advanced SQL and experience in SQL / NoSQL database management system.
• Strong understanding of data structures, data science concepts and modelling techniques.
• Other data wrangling with tools like Hive and Spark and libraries like Pandas, NumPy and SciPy.
• Experience with Rest APIs and CLIs.
• Excellent communication and teamwork skills.
• High proficiency in English language.

Desirable

• Knowledge of / experience in ML Life Cycle Management, i.e. containerization (Docker, Kubernetes), APIfication, MLOps, etc.
• Familiar with client-server architecture and microservice architecture.
• Experience in working in cloud environments, e.g. Azure, Snowflake.
• Good knowledge of SDLC best practices including testing, continuous integration, and DevOps.
• Experience in programming with distributed systems (e.g. Hadoop, Spark, MPI).
• Agile development skills and experience.
• MedTech / Life Science domain experience.

Our approach to diversity and inclusion

At Mölnlycke diversity is not just a vision, but our strength. We are dedicated to fostering an inclusive workplace that values and celebrates the power of diversity. At the heart of our commitment is the belief that diversity fuels innovation, creativity and problem-solving. We invite you to be a part of a team where authenticity is embraced, and every employee, regardless of background or any other traits, experiences a true sense of belonging. Your attitude, drive, enthusiasm, and eagerness to learn are just as important to us as the requirements for the role.

About Mölnlycke

Mölnlycke is a world-leading medical products and solutions company that equips healthcare professionals to achieve the best patient, clinical and economic outcomes. Our business is organized in the four business areas Wound Care, Operating Room Solutions, Gloves and Antiseptics, where customer centricity, sustainability and digitalisation are at the heart of everything we do.

Mölnlycke employs around 8,700 people. The company headquarters are in Gothenburg, Sweden and we operate in more than 100 countries worldwide. Mölnlycke is a founding partner of GoCo Health Innovation City, a world-class innovation cluster for health, and in early 2025 our headquarters will move there. Since 2007, the company has been part of Investor AB, an engaged owner of high-quality, global companies which was founded by the Wallenberg family in 1916.

For more information, please visit www.molnlycke.com and www.molnlycke.com/careers

If this sounds like you and you feel you have what it takes to succeed in this role, we want to hear from you as soon as possible.