Senior Data Engineer

at  Abcam

For over 25 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders.
We believe that to continue making progress, we need to work together, each bringing our own unique perspectives to make an impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly drive science forward.
The Senior Data Engineer is responsible for spearheading the design, build, and maintenance of robust data pipelines and infrastructure, as well as ensuring data availability, reliability, and quality for scalable AI applications that generate market insights and high-quality sales leads, enhance customer engagement, and directly driving sales.
This position reports to the AI Sales Integration Manager and is part of the Data Science and AI Team located in Cambridge, UK, and will be on-site. At Abcam, our vision is to be the most influential life sciences company for researchers worldwide.
This role will initially be a 12-month fixed-term contract with the possibility of extension.

THE ESSENTIAL REQUIREMENTS OF THE JOB INCLUDE:

• BSc or MSc in a field related to Data Engineering or Computer Science (or equivalent proven experience).
• Multiple years of industry experience.
• Proficiency in dbt, Python, SQL, Redshift, Git, AWS, and Snowflake.
• Experience with data pipelines, structures, platforms, and integration.
• Strong understanding of AI model requirements and data engineering best practices.

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

• Commercial awareness and understanding of Sales and Marketing strategies.
• Familiarity with data security and data privacy concepts.
• Experience with Jira and Confluence.

If you would like to be a part of a collaborative, international team and a fast-paced, growing business with a focus on AI, please do apply!
At Danaher we bring together science, technology and operational capabilities to 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. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. 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.
At Danaher we bring together science, technology and operational capabilities to 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. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. 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.

• Drive the processing and transformation of data for AI model ingestion, including feature engineering and data versioning.
• Build and optimize data pipelines from various sources, ensuring data availability, quality, and reliability.
• Monitor and maintain the correctness and performance of data pipelines, supporting overall data architecture and integration.
• Collaborate with cross-functional teams to support data needs and ensure seamless integration with existing systems.
• Collaborate across teams to drive AI innovation, while expanding your expertise within an experienced, inclusive, and international team.