Data Engineer

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

And as the world evolves, so do we.  For over 125 years, we have taken on some of the most complex challenges in healthcare. 

The Opportunity:

Data Engineering & Infrastructure

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes for structured and unstructured data.

• Implement data models in Snowflake for efficient data storage, retrieval, and analytics.

• Utilize DBT for data transformation, modeling, and governance.

• Develop and maintain AWS-based data infrastructure (e.g., S3, Lambda, Glue, Redshift).

• Optimize database performance, troubleshoot issues, and enhance data flow patterns.

• Plan, design, and implement systems and infrastructures for improved data quality.

System & IT Support for Data Science Projects

• Support data science and analytics teams by ensuring high-quality, well-structured data availability.

• Perform IT functions, including system design, analysis, testing, debugging, and implementation of applications for data science projects.

• Analyze, install, modify, and support operating systems, databases, and utilities software to enhance data processing capabilities.

• Plan and conduct business problem analysis to be solved with automated data systems.

Process & System Optimization

• Analyze and design improved data flow across the organization, ensuring efficiency and scalability.

• Implement data governance and security measures to comply with pharmaceutical regulations.

• Automate and orchestrate workflows using Airflow, Prefect, or similar orchestration tools.

• Contribute to the development, testing, and evaluation of IT infrastructure architecture, particularly in higher-level roles.

Who you are:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

• A minimum of 5-7 years of experience in data engineering or a related IT field.

• Strong proficiency in Python for data processing and automation.

• Hands-on experience with AWS cloud services (S3, Lambda, Glue, Redshift, etc.).

• Experience with Snowflake for data warehousing and dbt for data transformations.

• Proficiency in SQL for database design, optimization, and troubleshooting.

• Knowledge of data orchestration tools (Airflow, Prefect, etc.).

• Experience in IT system analysis, testing, and implementation related to data science projects.

• Understanding of data governance, security, and regulatory compliance in the pharmaceutical industry.

Relocation benefits are not available for this job posting.

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.