1 day ago
Cambridge, United KingdomMid Level
Responsibilities
- Maintain and develop critical ontology import pipelines.
- Support the Ontology Team in updating and building vocabularies and ontologies.
- Provide support for customer projects as required.
- Develop software to assist manual curation efforts.
- Develop and maintain automation pipelines across the DataOps team.
- Work with AWS Batch, Step Functions, and Lambda-based solutions.
- Collaborate with Data Science and Ontology teams.
- Contribute to continuous improvement of DataOps processes and tooling.
Requirements
- Experience in Python software development and production environments.
- Experience with pytest or unittest and participation in code reviews.
- Proficiency with UNIX and command-line environments.
- Experience with version control systems, ideally GitHub.
- Experience with cloud technologies such as AWS, GCP, or Azure.
- 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.
- Strong teamwork and problem-solving skills.
Benefits
- Flexible working hours.
- Wellbeing initiatives.
- Shared parental leave.
- Study assistance.
- Sabbaticals.
- Country-specific benefits and support for workplace accommodations.
Tech Stack
Categories
Data Engineering
About Elsevier
Elsevier builds scientific and medical information products and analytics platforms for researchers, clinicians, and educators. Its portfolio includes journals and databases such as The Lancet, Cell, ScienceDirect, Scopus, and ClinicalKey, sold primarily via institutional subscriptions, licensing, and open-access publishing fees. Founded in 1880 and headquartered in Amsterdam, Elsevier operates as a business of RELX, serving universities, hospitals, corporations, and government research agencies worldwide.