Senior Data Engineer

Join Roche as a Senior Data Engineer

Roche is seeking a skilled and experienced Data Engineer to join our team in Sant Cugat del Vallès, Catalonia, Spain. As 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.

Your Role

As a Senior Data Engineer, you will have a significant impact on our platform by 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 to ensure that automation is in place to increase quality and efficiency.

Key Responsibilities

• Build and maintain the 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 automated data pipelines to produce quality datasets from different sources meeting functional and non-functional requirements.
• Define and implement automated testing of the data pipelines and orchestrations.
• Define and implement data models and data products to provide access to data to final stakeholders.
• 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

• B.S. degree in Computer Science, Information Systems, Math, Statistics, Engineering, or equivalent training.
• At least 3 years of professional experience working with large-scale data platforms in the fields of Data Operations or Data Engineering, using agile methodologies.
• Proficient in implementing data pipelines using tools such as Pyspark, Spark SQL, Scala, and orchestration tools/services like Airflow and Data Factory.
• Experience with databases such as Redshift, Dynamodb, Aurora, Postgres, and/or Snowflake.
• Familiarity with cloud services like AWS, Google Cloud, or Azure with Big Data services.
• Proficient with software engineering best practices, such as unit testing and integration testing, and software development tools like IDE, Maven, Git, Docker.

Bonus Skills

• Experience with reporting systems and visualization tools like Quicksight, Superset, Tableau, or Looker.
• Experience with DevOps, DataOps, and MLOps.
• Experience with security and privacy regulations (GDPR, HIPAA).
• Knowledge of the Health Industry.
• Strong analytical skills and statistical knowledge.

What We Offer

• An innovative agile working environment allowing for collaboration and knowledge sharing in cross-functional teams.
• Hybrid home office/on-site working model.
• Loads of benefits including brand new Apple hardware, lunch benefit, and training opportunities.
• Support for personal and career development, including writing blog posts, contributing to open source projects, or participating in conferences and meet-ups.

Join Roche, where every voice matters, and be part of a team that is ambitious and passionate about building meaningful products.