Senior Data Engineer

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.

At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.

Learn about the Danaher Business System which makes everything possible.

The Senior Data Engineer is a key member of our Data Engineering team within Data & Analytics organization, staying at the forefront of automating business processes through digitalization and playing a pivotal role in our strategic initiative to enhance data-driven decision-making and enabling AI across the company.

You will be a part of the Data and Analytics team and report to the Senior Manager – Data Engineering as part of Platform team. If you are the forefront of new technologies and eager professional who thrives in a fast-paced role and wants to work to build a world-class data products / platform —read on.

What you will do:

• Design, build, and maintain scalable and reliable AWS & Snowflake based data platform
• Develop and maintain infrastructure for data pipelines for ingestion, transformation, and storage of large datasets
• Automate infrastructure provisioning and deployment using Infrastructure as Code (IaC) tools via Terraform.
• Implement and maintain data security and governance policies.
• Collaborate with data scientists, analysts, and engineers to understand their data platform needs and provide solutions.
• Monitor and troubleshoot data platform issues, ensuring timely resolution.
• Stay up-to-date with the latest data platform technologies and best practices.
• Contribute to the development of data platform documentation and standards.

Who you are:

• Proficiency in Python, Terraform, Linux/Windows scripting and knowledge of SQL (especially Snowflake)
• Good knowledge of AWS technologies used in Data Processing
• Experience with Kubernetes, Docker, GIT, AWS ECS and AWS Lambda
• Knowledge of scheduling/orchestration tools like airflow
• Knowledge of data engineering principles, including data processing, loading and orchestrating data manipulation jobs
• Understanding of modern CI/CD processes leveraging GitHub and TeamCity  
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently and as part of a team.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

It would be a plus if you also possess previous experience in:

• Experience with building bespoke tools and libraries.
• Experience with test orchestration and unit testing for data platform solutions
• Experience in creating products within BI, Machine Learning Models, or other related functions.
• Worked on different cloud platform like Azure o GCP

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.