Description:

Join the Knowledge Representation Team at BenchSci as a Senior Data Engineer in London, England.
Report to the Engineering Manager and work on evolving BenchSci’s Knowledge Graph by integrating public life science data into the biological ontology.
Iterate on data models in various data stores, including graph DB, and enhance internal tooling for data self-service.
Operationalize production-grade data pipelines and collaborate with a world-class team to apply data engineering solutions for scientific discovery.
Scale data pipelines for quick and reliable data transfer from research to platform.
Manage sources with semi-structured and unstructured biological data to contribute to the Knowledge Graph.
Collaborate with ML, Data engineers, and Science to solve complex data mining challenges.
Design scalable solutions using the latest frameworks and tools in a cloud-based environment.
Contribute to engineering design proposals, team processes, and code review.
Work independently and in pair-programming settings within an agile team to solve data problems.
Liaise with stakeholders from other functions like product and science for continuous growth and learning opportunities.

Requirements:

Hold a Degree in Software Engineering, Computer Science, or a related field.
Have 5+ years of experience as a professional data engineer.
Proficient in Python coding and type system.
Skilled in writing SQL (GQL, PostgreSQL, and BigQuery are a plus).
Experience in building batch and streaming ETL pipelines using data processing engines.
Familiarity with cloud development (GCP and Terraform) and data modeling.
Possess strong communication skills and experience working in cross-functional teams.
Proficient in agile processes and executing as part of high-performance engineering teams.
Ideally, have worked in the scientific/biological domain and have a growth mindset.