Roche fosters diversity, equity, and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people's varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.The PositionDiabetes is a pesky monster — and that's putting it mildly. If you're serious about helping us face it head-on, come join us! Being a global leader in integrated Personalized Diabetes Management (iPDM), Roche Diabetes Care collaborates with pioneers around the globe, including people with diabetes, caregivers, healthcare professionals, and payers.We aim to transform and advance care provision and foster sustainable care structures. Under the brands RocheDiabetes, Accu-Chek, and mySugr, comprising glucose monitoring, insulin delivery systems, and digital solutions, we unite with our partners to create patient-centered value. By building and collaborating in an open ecosystem, connecting devices, and digital solutions as well as contextualizing relevant data points, we aim to support the optimization of therapy and enable better-informed therapy decisions.Here's what we're looking for:We're looking for an experienced data engineer who will have a significant impact on our platform making data accessible. You will work with different data stakeholders to gain a good understanding of the data needs. You will define and develop data pipelines, data products, and data services. You will drive automation - wherever possible and feasible - to ensure that automation is in place to increase quality and efficiency.Your upcoming mission:Design, build and maintain the Roche Diabetes Care data & analytics platform ensuring FAIR principles are achieved.Assemble large and complex datasets within the platform and make them available for different purposes and stakeholders.Build scalable data pipelines to integrate and model datasets from different sources that meet functional and non-functional requirements.Ensure quality best practices, defining and implementing automated testing of the data pipelines and orchestrations.Formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.Implement the tools and processes to access, manage and work with the data for the reporting, advanced analytics, and evidence generation teams.Collaborate with data team members to define data quality rules and KPIs for monitoring and exception alerts.Diagnose and triage infrastructure problems and outages related to the data & analytics platform.Essential skills for this mission:B.S. degree in Computer Science, Information Systems, Math, Statistics, Engineering, or equivalent training.
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