Elsevier
Python Software Engineer
Cambridge
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About the role
- As a DataOps Engineer, you will play a key role in maintaining and enhancing the data and ontology pipelines that underpin SciBite's technology stack.
Responsibilities
- Maintain and develop critical ontology import pipelines
- Support the Ontology Team in updating and building new vocabularies and ontologies
- Develop software to assist manual curation efforts
- Develop and maintain automation pipelines across the DataOps team
- Collaborate closely with Data Science and Ontology teams
Requirements
- Experience in Python software development
- Experience working with pytest or unittest and participating in code reviews
- Proficiency with UNIX and command-line environments
- Experience using version control systems, ideally GitHub
- Experience working with cloud technologies such as AWS, GCP, or Azure
- Experience working in production environments
- Experience with cloud orchestration tools such as Puppet or Terraform
- Experience in Python GUI development
- Experience working with ontologies or XML
- Knowledge of compute clusters and workflow management
Skills
- About our Team
Company info
- We offer an appealing working prospect for our people.
- We are committed to providing a fair and accessible hiring process.
Visa & Work Authorization
- are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientat
This listing is sourced directly from Elsevier's careers page and normalized into a canonical job model.