Data Engineer

at  Radiometer

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 Engineer 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. This position is located in Stargard and is hybrid-friendly. 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.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Proficiency in SQL and Python, with a solid foundation in coding best practices and design patterns.
• Excellent communication, collaboration, and problem-solving skills.

• Design, develop, document and maintain robust data pipelines and infrastructure utilizing a suite of Microsoft cloud and on-premises services including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Configure, document and maintain CI/CD pipelines.
• Ensure the high standards of data quality, reliability, and scalability across diverse data sources and platforms to support strategic decision-making.
• Actively collaborate with data analysts, data scientists, and business stakeholders to gather data requirements, and translate these into actionable data-driven solutions that align with business objectives.
• Continuously optimize data pipelines and related processes for enhanced performance, efficiency, and cost-effectiveness, ensuring the best use of resources and technology.