Scientific Data Engineer

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

Responsibilities:

Onboarding of approximately 50 laboratory instruments onto the TetraScience Data Platform:

• Development of instrument parsers as required

• Design and development of data pipelines to support data flow and accessibility

• Provide solution guidance to the Systems Integrations team on Integration solution guidance between TetraScience and Revvity ELN

Activities Performed:

• User Story creation & refinement,

• Raw-to-IDS, metadata attribution,

• instrument onboarding,

• parser development, testing, etc..

Note that this does not include integrations of system with ELN, NNCD, Inventory management, etc

What we expect:

• Expertise working with data from laboratory equipment/software, (e.g. LIMS, ELN, etc.)

• Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred. 

• 5+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment. 

• Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift). 

• Expertise in ETL and DWH.  

• Experience with NoSQL and graph databases. 

• English language proficiency of B2+ 

• Strong analytical, problem‑solving, and stakeholder‑management skills, with the ability to translate discussions into actionable requirements. 

• Experience in Data Platform integrations, preferably in Life Sciences/biotech domain

Nice to have:

• Proficiency with Revvity's Signals ELN

• Expertise in TetraScience Data Platform

We offer:

• Competitive compensation

• Remote or office work

• Flexible working hours

• Continuous education, mentoring, and professional development programs

• A team with an excellent tech expertise

• Certifications paid by the company