Senior Global Azure Data Engineer at QuidelOrtho

Job description

QuidelOrtho develops and manufactures advanced diagnostic solutions that make a meaningful difference in the lives of millions of people every day. United by a shared purpose, our passionate, driven employees come together to transform data into understanding and action for healthcare professionals, patients and communities around the world. Together, we’re creating a lasting impact where it is needed most and advancing the power of diagnostics for 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) Source control (Azure DevOps or Git) Database migration from legacy systems to cloud Nice to Have: Azure Synapse (Dedicated / Serverless / Spark Pools) ADLS Gen2 or AWS S3 Azure Functions Strong SQL, Hive, Spark, Python, Polybase Azure security principles (Key Vault, access controls, networking) Your Mindset: Problem-solver who thrives on complexity Self-motivated and detail-oriented Able to prioritize and execute efficiently Agile team player Passionate about learning and growing What We Offer: We believe great people deserve great benefits: Competitive salary Meal vouchers Transportation allowance Language courses Fit Office & Multisport card 5 weeks of holiday 3 sick days Flexible remote work Employee awards Employee Assistance Program Benefit cards & more Why Join Us? You won’t just build pipelines—you’ll build impact. You won’t just manage data—you’ll enable smarter healthcare solutions. You won’t just have a job—you’ll have a career with purpose. If you’re excited about modern data platforms, Lak