Senior Global Azure Data Engineer

The Opportunity

QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most – home to hospital, lab to clinic.

Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all.

Thrive in the Heart of Europe with QuidelOrtho:

At QuidelOrtho, our Prague office is home to nearly 145 talented professionals supporting critical EMEA Shared Services, including Customer Service, Finance, People & Culture, and GIS. Together, they drive excellence across our global organization.

Our office is ideally located in one of Prague’s most attractive districts—just steps from the city center—providing easy access to everything this dynamic city has to offer. Housed in a modern, newly renovated building, the workspace is designed to foster collaboration, flexibility, and well-being—creating an environment where work-life balance truly thrives.

Join us in Prague and become part of a forward-thinking team at the center of it all.

Are You Ready to Shape the Future of Data?

At QuidelOrtho, data isn’t just numbers—it’s insight, innovation, and impact. We’re looking for a Senior Global Azure Data Engineer who’s passionate about transforming raw data into powerful solutions that drive smarter decisions and meaningful outcomes.

You’ll join cross-functional, high-performing teams to deliver modern, scalable data platforms—from dynamic short-term sprints to large, multi-year transformation programs.

Your mission?

Provision data from on-premise and external sources into our cutting-edge Lakehouse architecture, apply business logic, and empower analytical users with trusted, high-quality data.

What You’ll Do:

• Design and build robust, scalable data pipelines in Azure

• Provision and integrate structured, semi-structured, and unstructured data

• Develop solutions using Azure Data Factory and Azure Databricks

• Implement distributed data processing (batch & streaming)

• Apply Lakehouse / Medallion architecture principles

• Optimize, partition, and performance-tune large datasets

• Migrate legacy on-prem databases to modern cloud platforms

• Collaborate in Agile/Scrum teams to deliver high-impact solutions

• Continuously learn, innovate, and push boundaries

What Makes You a Great Fit:

We’re looking for a blend of technical expertise and mindset. You don’t need everything—but strong Databricks and Spark experience is highly valued.

Core Experience

• 3+ years with cloud platforms (Azure preferred, AWS welcome)

• Hands-on with:

  • Azure Data Factory (ADF)

  • Azure Databricks (Notebooks, Workflows, Delta Live, Unity Catalog)

• Experience with:

  • Delta Lake or Apache Iceberg

  • MS SQL Server, Azure SQL, or similar RDBMS

  • Database design & data modeling

  • Distributed big data processing (batch & streaming)

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