(Senior) Data Engineer, Novonesis, Bagsværd

Novonesis; Gladsaxe Kommune; Hybrid; DKK 800,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Novonesis seeks a (Senior) Data Engineer to design and deliver robust data pipelines across Benchling and Databricks. You will work closely with scientists and local digital teams to translate scientific needs into scalable data solutions and ensure data quality and lifecycle ownership.

The role combines hands-on delivery with technical leadership, emphasizing reusable components, APIs, and modern data-engineering practices while balancing short-term needs with long-term sustainability in a

Qualifications

• MSc degree in Computer Science, Software Engineering, Data Engineering, Bioinformatics, or related field.
• Strong experience designing, building, and maintaining production-grade data pipelines and operational data solutions.
• Advanced proficiency in Python and SQL; experience with APIs and data modeling.

Responsibilities

• Design, develop, and implement robust data pipelines and reusable components across platforms.
• Collaborate with scientists and digital teams to translate needs into data solutions.
• Provide leadership on architecture, APIs, data quality, testing, deployment, and lifecycle management.
• Strengthen data foundations by identifying reusable patterns and components.

Skills

Python

SQL

APIs

Data modeling

Version control

Automated testing

Software engineering practices

Education

MSc degree in Computer Science, Software Engineering, Data Engineering, Bioinformatics, or related field

Tools

Databricks

Benchling

Job description

Interested in a career that matters?Are you excited about enabling scientific innovation through data and digital solutions? Do you enjoy working hands-on with modern technologies while collaborating closely with scientists and digital specialists to solve complex challenges?As a (Senior) Data Engineer, you will join the newly established Digital Enablement Team within Product & Process Development (PPD), an organization of more than 400 employees across six director areas and more than 10 geographical locations. The team brings together expertise in digital implementation, data engineering, AI, and data platform enablement to help shape the future of digital and data-driven R&D across Novonesis.Working closely with scientists, local digital teams, platform owners, and data specialists, you will help create scalable and reusable data solutions that strengthen scientific workflows, improve data accessibility, and accelerate innovation across PPD.The Role & Your ImpactThis is a hands-on specialist role that combines technical delivery, technical leadership, and enablement. You will work across a diverse technology landscape that combines open-source technologies and Unix-based systems with enterprise platforms such as Benchling and Databricks. You will have considerable flexibility to shape pragmatic solutions using technologies such as Python, SQL, APIs and modern data-engineering practices.In this role, you'll make an impact by:Design, develop, and implement robust data pipelines, integrations, scalable data flows, and reusable engineering components that connect scientific applications, local solutions, and enterprise platforms such as Benchling and Databricks across PPD.Partner closely with scientists and local digital teams to understand business and scientific needs, translating them into reliable, sustainable, and high-value data solutions.Provide technical leadership and guidance on architecture, APIs, data quality, testing, deployment, lifecycle management, and modern data engineering practices, ensuring engineering excellence and sound technical decision-making.Strengthen PPD's shared data foundation by identifying reusable patterns and components, while collaborating with platform owners, AI specialists, and partner teams to resolve dependencies, promote reuse, and ensure sustainable solution ownership.What You'll Need to Be SuccessfulTo succeed in this role, you bring both deep technical expertise and a collaborative mindset.You likely have:An MSc degree in Computer Science, Software Engineering, Data Engineering, Bioinformatics, or a related technical discipline, or equivalent qualifications gained through substantial relevant professional experience.Strong experience designing, building, and maintaining production-grade data pipelines, integrations, and operational data solutions.Advanced proficiency in Python and SQL.Experience with APIs, data modeling, version control, automated testing, and modern software engineering practices.Experience working across multiple systems and platforms while balancing data quality, reliability, maintainability, and lifecycle ownership.Experience collaborating with scientists, engineers, or other domain experts to develop technical solutions that solve real-world problems.Professional working proficiency in English.In addition, you demonstrate:Strong technical judgment and the ability to balance short-term needs with long-term sustainability.Excellent collaboration and stakeholder engagement skills.An enablement mindset, helping others succeed while maintaining solution quality.Structured and analytical problem-solving capabilities.Strong communication skills and a curiosity for understanding complex scientific domains. Additional Skills & Interests We ValueWhile these qualifications are not required, they would be considered an advantage. Experience working at Novonesis or within a similarly complex R&D environment would help you quickly navigate the scientific and organizational landscape. Familiarity with scientific data, laboratory workflows, process development environments, or research systems would be beneficial, as would experience working with enterprise-scale data platforms such as Databricks. We also value exposure to AI-enabled solutions and broader data platform ecosystems, as well as experience developing reusable data engineering frameworks, standards, or shared services that enable scalability and consistency across an organization.What We OfferYou will become part of a newly formed team with the unique opportunity to influence both the direction of the team and the way digital enablement is delivered across PPD. As a (Senior) Data Engineer, you will help shape data engineering practices across a global R&D organization while supporting scientific innovation and product development through impactful digital solutions. This role offers the opportunity to work in a highly collaborative environment where scientists, engineers, and digital specialists partner closely to solve complex challenges and accelerate innovation.You will have the chance to expand your expertise across data engineering, digital implementation, AI, and scientific data platforms while working with a broad network of stakeholders across PPD. We foster a culture built on curiosity, knowledge sharing, continuous learning, and continuous improvement, where new ideas are encouraged and expertise is actively developed. Most importantly, you will have the opportunity to make a lasting impact by creating scalable and reusable solutions that strengthen data capabilities and benefit teams across the organization.Ways of WorkingThe Digital Enablement Team operates in an office-first hybrid setup.Being onsite is important for building strong relationships, understanding scientific workflows, and collaborating closely with stakeholders. At the same time, we support flexibility and remote work when compatible with team responsibilities and project needs.Application deadline: 16 October 2026. We review applications on an ongoing basis, so we encourage you to apply as soon as possible.Contact : For additional information about the position, please contact Christian Munk, PPD Digitalization Lead at [e-mail] or [phone].Our purpose guides the wayIn Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we've gotten so far. And it’s how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless. If our purpose resonates with you, we encourage you to apply.Opportunities for everyoneWe are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying.We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds, including ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.Explore other openingsIf this position isn’t the right fit, you may still find other opportunities with us. You’re welcome to explore open roles or create a job agent to stay connected with future opportunities at novonesis.com/Career