Roche is seeking a Data Engineer to own and optimize core enterprise data systems, drive the architecture and strategy for reliable data pipelines, and deliver scalable, AI-ready data solutions. This on-site role will join the Data and Platform Engineering team focused on building robust, self-driving data foundations to power federated data consumption. Responsibilities include designing and optimizing scalable data pipelines and ETL/ELT frameworks; maintaining and evolving complex data infrastructure; identifying and resolving data flow and performance issues; collaborating with cross-functional stakeholders to align data strategy with global standards and business objectives; leading strategic initiatives and high-impact projects to drive technical innovation; and managing high-volume datasets with emphasis on data integrity and performance. Requirements include a bachelor’s degree in Computer Science or equivalent experience; experience with Windows Server, Red Hat Enterprise Linux, virtualization platforms (VMware vSphere/Nutanix Acropolis), and both relational and non-relational databases; proficiency in SQL, Linux, and ETL tools (Talend, Apache Airflow, PySpark); growing programming experience in Python (Pandas/Polars/Prefect/PySpark); familiarity with cloud platforms (AWS, Azure, GCP) and Big Data concepts; basic knowledge of Docker; experience with reporting tools (Tableau/Power BI/ThoughtSpot); Agile/Safe experience is a plus; English proficiency is essential, Spanish proficiency is a plus. The role requires strong collaboration with internal technical teams to en

Roche is seeking a Data Engineer to own and optimize core enterprise data systems, drive the architecture and strategy for reliable data pipelines, and deliver scalable, AI-ready data solutions. This on-site role will join the Data and Platform Engineering team focused on building robust, self-driving data foundations to power federated data consumption. Responsibilities include designing and optimizing scalable data pipelines and ETL/ELT frameworks; maintaining and evolving complex data infrastructure; identifying and resolving data flow and performance issues; collaborating with cross-functional stakeholders to align data strategy with global standards and business objectives; leading strategic initiatives and high-impact projects to drive technical innovation; and managing high-volume datasets with emphasis on data integrity and performance. Requirements include a bachelor’s degree in Computer Science or equivalent experience; experience with Windows Server, Red Hat Enterprise Linux, virtualization platforms (VMware vSphere/Nutanix Acropolis), and both relational and non-relational databases; proficiency in SQL, Linux, and ETL tools (Talend, Apache Airflow, PySpark); growing programming experience in Python (Pandas/Polars/Prefect/PySpark); familiarity with cloud platforms (AWS, Azure, GCP) and Big Data concepts; basic knowledge of Docker; experience with reporting tools (Tableau/Power BI/ThoughtSpot); Agile/Safe experience is a plus; English proficiency is essential, Spanish proficiency is a plus. The role requires strong collaboration with internal technical teams to en