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.

The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

Creating a world where we all have more time with the people we love.

That’s what makes us Roche.

We are seeking a  Data Engineer Lead to join our dynamic and innovative team of imaging scientists and software developers. In this role, you will work with a diverse set of stakeholders to implement data engineering solutions in the realm of Digital Pathology. You will lead and drive the development of robust ETL and processing pipelines and storage infrastructure for images and associated metadata, ensuring high-quality data inputs for critical AI/ML algorithm development. You will work together with a team of Imaging Scientists, Data Managers, Project Managers, and Quality Engineers to define requirements, and implement innovative solutions utilizing both on-premise and cloud technologies.

The Opportunity:

• Design, build, and maintain scalable ETL/ELT pipelines for processing both structured and unstructured data.
• Work with AWS-based infrastructure (e.g., S3, Lambda, Glue, Redshift) to support reliable and scalable data systems.
• Create efficient data models, enhance database performance, and troubleshoot issues to ensure seamless data flow.
• Plan, design, and implement systems to improve overall data quality and reliability.
• Partner with product managers, scientists, and team members to translate user needs into actionable technical solutions and contribute to system architecture.
• Write clean, well-tested code, participate in code reviews, and uphold engineering best practices to evolve processes.
• Facilitate smooth data transfers between systems and contribute to documentation, technical discussions, and testing efforts.

Who you are:

• Bachelor’s in Computer Science, Data Engineering, or related field with 7+ years of data engineering experience, including 3+ years in cloud engineering.
• Strong expertise in Python, SQL, and hands-on experience with AWS services (S3, Lambda, Glue, RDS, etc.), as well as familiarity with data orchestration tools like Nextflow, Snakemake, or Airflow.
• Understanding of data governance, security, and compliance, particularly within the pharmaceutical industry.
• Demonstrated application of engineering best practices, combined with excellent communication skills and the ability to collaborate effectively.
• Quick to acquire new technical skills with a passion for continuous learning and driving innovative solutions.

Preferred:

• Master degree in n Computer Science, Data Engineering

Relocation benefits are not available for this job posting.  

Who we are

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.

Roche is an Equal Opportunity Employer.

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