Internship - Data Engineering for 12 months

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.

Join our Data Analytics & Engineering team as a Data Engineer Intern and play a key role in building state-of-the-art data solutions, gaining hands-on experience in a cutting-edge, collaborative environment that values growth, innovation, and impact

This is a hands-on role focused on learning and development. Under the guidance of experienced and senior engineers, you will help optimize the state-of-the-art data infrastructure that powers our operations. 

Our team operates within a modern data mesh architecture, using Data Vault 2.0 modeling and a Scrum-based workflow to deliver reusable, trusted, and actionable data solutions. You will have the opportunity to offer feedback, help redesign workflows, and challenge existing processes constructively. Your contributions will directly support data-driven decision-making and help create value at scale across the organization.

• Data Pipeline Support: Assist in the design and building of scalable data pipelines and storage solutions for real-time and batch processing. 

• Data Product Development: Support the development of high-quality data products that follow FAIR (Findable, Accessible, Interoperable, Reusable) principles. 

• Data Integration: Collaborate with process experts to understand data landscapes and assist in acquiring, ingesting, and processing data from diverse sources into Big Data platforms like Snowflake. 

• Data Preparation: Help develop reusable pipelines and ensure data is prepared for advanced analytics. 

• Process Optimization: Contribute to initiatives that permanently optimize processes to increase quality and efficiency standards. 

• Innovation: Apply innovative techniques to deliver impact and stay updated with technology trends. 

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

• Demonstrable interest in data engineering, shown through academic coursework, personal projects, or previous internships.

• Proven ability to work both independently and collaboratively within a team environment. 

• Knowledgeable with programming languages and data engineering tools such as Python, R and SQL. 

• Strong problem-solving and analytical skills with high attention to detail and familiarity with data modeling and ETL concepts.

Working part time at least 32 hours per week is possible.

This internship is not suitable for thesis writing.

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.