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 Data Engineer is responsible for working with other Digital team members to identify, plan, develop and deliver data services. Implementing and optimizing data pipelines, data modelling, and data availability to speed up time-to-production of various initiatives and business needs.
This position reports to the Lead Data Engineer and is part of the Data and Analytics team located in Cambridge and will be based on-site. At Abcam, our vision is to be the most influential life sciences company for researchers worldwide.
This role will is a 12-month fixed-term contract.

THE ESSENTIAL REQUIREMENTS OF THE JOB INCLUDE:

• BSc in Computer Science, Applied Mathematics or a related subject
• Multiple years of industry experience
• Capable of designing, implementing and operating end-to-end data pipelines, excellent knowledge of Data Warehouse and Enterprise Data Platform Technology along with hand-on experience of SQL

IT WOULD BE A PLUS IF YOU ALSO POSSESS PREVIOUS EXPERIENCE IN:

• Excellent communication and collaboration abilities, strong analytical and problem-solving skills.
• Experience with Snaplogic, dbt, JIRA, AWS, Python
• Experience in conceptual, logical and physical data modelling
  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.

• Inspire best practice for data products and services within your teams.
• Build data engineering capability by providing technical leadership and career development for the community
• Work with colleagues to identify, plan, develop and deliver data services including developing a new Data Analytics Platform.