Senior Data Engineer & Systems Specialist

Today, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

Role Purpose:

The Senior Data Engineer & Systems specialist will be responsible for the design, implementation and maintenance of Lonza’s R&D data & Systems infrastructure which supports approx. 160 scientists in R&D. In this role they will work closely with R&D scientists to define their data requirements & manage multiple Data Engineering projects accordingly. They will actively engage & collaborate with IT to ensure R&D has access to the necessary systems & components for innovation whilst aligning with IT strategy.

Key Accountabilities and Duties:

• Designs, implements and maintains Lonza R&D data & Systems infrastructure & access management
• Manages R&D Research Group data requirements, including prioritization and management of multiple simultaneous projects.
• Leads the development & implementation of metadata standards in R&D, including the use controlled vocabularies and ontologies.
• Designs, develops & implements scalable ETL pipelines & optimises data storage
• Collaborates closely with Bioinformaticians and Modelers in R&D
• Leads and mentors junior Data Engineers
• Keeps abreast of current/emerging technology, tools & best practice that could be of benefit to R&D & implements as appropriate

Qualifications/Skills:

• Strong programming skills in a common language (e.g. Python, R ...)
• Familiarity with containerization technologies
• Cloud computing experience, preferably Azure including IaaS and PaaS on a common platform
• Experience setting up and maintaining data infrastructure, including database design (SQL)
• Experience/knowledge of working within research & development (e.g. life sciences)

Education

• Degree (required) BSc Field of Study Data science, computer science, other quantitative subject
• Degree (preferred) MSc Field of Study Data science, computer science, other quantitative subject

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.