Python Software Engineer

Dataops EngineerAre you excited to help build and evolve innovative data and ontology solutions that power world-leading scientific technologies?Do you enjoy combining software engineering, automation, and data operations to create scalable systems that make a real impact for customers and researchers?SciBite is developing cutting-edge AI and NLP technologies for solving key challenges for our life science customers. We use the latest large language models combined with our award-winning semantic technology to enable discovery within large volumes of unstructured data.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. Working closely with Ontology and Data Science teams, you will contribute to the development of high-quality vocabularies and data products, while building automation and software solutions that improve efficiency and support customer outcomes.ResponsibilitiesMaintain and develop critical ontology import pipelinesSupport the Ontology Team in updating and building new vocabularies and ontologiesProvide support for customer projects as requiredDevelop software to assist manual curation effortsDevelop and maintain automation pipelines across the DataOps teamWork with AWS Batch, Step Functions, and Lambda-based solutionsCollaborate closely with Data Science and Ontology teamsContribute to the continuous improvement of DataOps processes and toolingRequirementsExperience in Python software developmentExperience working with pytest or unittest and participating in code reviewsProficiency with UNIX and command-line environmentsExperience using version control systems, ideally GitHubExperience working with cloud technologies such as AWS, GCP, or AzureExcellent teamwork and problem-solving skillsExperience working in production environmentsExperience with cloud orchestration tools such as Puppet or TerraformExperience in Python GUI developmentExperience working with ontologies or XMLKnowledge of compute clusters and workflow managementWork in a Way That Works for YouWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.