Senior Data Engineer: Scientific Data Pipelines & AI

1000 Novozymes A/S; Gladsaxe Kommune; Hybrid; DKK 850,000 - 1,100,000; Full time

Job summary

Novonesis is seeking a (Senior) Data Engineer to join the Digital Enablement Team in PPD. You will design, build and implement robust data pipelines and integrations across Benchling and Databricks, using open‑source tools and Unix‑based systems.

Work with scientists, local digital teams and platform owners to translate research needs into scalable, high‑value data solutions while providing leadership on architecture, APIs, data quality, testing and deployment.

Qualifications

• MSc degree in Computer Science, Software Engineering, Data Engineering, Bioinformatics, or equivalent.
• Strong experience designing, building, and maintaining production‑grade data pipelines.
• Advanced proficiency in Python and SQL.
• Experience with APIs, data modeling, version control, automated testing, and modern practices.
• Experience collaborating with scientists or engineers to develop technical solutions.
• Professional working proficiency in English.

Responsibilities

• Design, develop, and implement robust data pipelines, integrations, scalable data flows, and reusable components.
• Collaborate with scientists and local digital teams to translate needs into data solutions.
• Provide technical leadership on architecture, APIs, data quality, testing, deployment, and lifecycle management.
• Strengthen shared data foundations and promote reuse across teams and platforms.

Skills

Python

SQL

APIs

Data modeling

Version control

Testing

Education

MSc in CS/SE/Data Eng

Tools

Benchling

Databricks

Unix

Job description

Novonesis is seeking a (Senior) Data Engineer to join the Digital Enablement Team in PPD. You will design, build and implement robust data pipelines and integrations across Benchling and Databricks, using open‑source tools and Unix‑based systems.

Work with scientists, local digital teams and platform owners to translate research needs into scalable, high‑value data solutions while providing leadership on architecture, APIs, data quality, testing and deployment.