Data Specialist

In our line of work, life isn’t a given - it’s the ultimate goal. When life takes an unexpected turn, our technology and solutions enable caregivers to make informed diagnostic decisions to improve patient care. This is our shared purpose at Radiometer and what unites all +4000 of us - no matter our roles or where in the world we’re located. Creating impactful innovations like ours, doesn’t happen overnight - it requires uncompromising persistency, passion, and a desire to make a difference. Here, you can learn, grow, and chart an uncommonly diverse career.

Radiometer is proud to work alongside a community of six fellow Diagnostics Companies at Danaher. Together, we’re working at the pace of change to improve patient lives with diagnostic tools that address the world’s biggest health challenges.

The Data Specialist for Radiometer is a key member of our Data and AI team, staying at the forefront of automating business processes through digitalization and playing a pivotal role in our strategic initiative to enhance data-driven decision-making across the company. At Radiometer, our vision is to improve global healthcare with reliable, fast, and easy patient diagnoses.

You will be a part of the Data and AI team and report to the Lead for the data platform team. If you to be at the forefront of new technologies and eager professional who thrives in a fast-paced role and wants to work to build a world-class data products / platform —read on.

In this role, you will have the opportunity to:

• Design, develop, document and maintain robust data pipelines and infrastructure utilizing a suite of Microsoft cloud and on-premises services primarily based on Microsoft technology stack and Azure Databricks.

• Mentor and guide team members on data engineering best practices.

• Configure and maintain CI/CD pipelines to automate deployment and testing.

• Ensure high-quality, reliable, and scalable data solutions to support business decisions.

• Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver data-driven solutions.

• Continuously optimize data pipelines for performance, efficiency, and cost-effectiveness.

Required Qualifications:

• Proficiency in Python and SQL, with a solid foundation in engineering best practices and design patterns.

• Strong experience in designing and developing scalable, reliable, and efficient data platforms.

• Knowledge of data engineering principles, including data modeling, ETL processes, and data warehousing.

• Excellent communication, collaboration, and problem-solving skills.

• Ability to work independently and as part of a team.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferably you also have:

• Experience with orchestration tools like Airflow, Prefect or Dagster.

• Experience in creating products within BI, Machine Learning Models, or other related functions.

We offer the following:

• Attractive salary and additional bonus in accordance with company policy.

• Employment based on a work contract (UoP).

• Private medical care and life insurance.

• Co-financing of meals in the company cafeteria.

• Contribution to sports memberships and purchases related to sports and culture.

• Company Social Fund - subsidy for holidays, non-refundable financial assistance.

• Professional development support - possibility of receiving funding for trainings, higher education, or language learning.

• Employee Assistance Program - free and fully confidential psychological, legal, and financial counseling support for employees and their family members.

• Sports hall access.

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Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.