Are 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?

About our Team

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. 

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. 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.

Responsibilities

• Maintain and develop critical ontology import pipelines
• Support the Ontology Team in updating and building new 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 closely with Data Science and Ontology teams
• Contribute to the continuous improvement of DataOps processes and tooling

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
• Excellent teamwork and problem-solving skills
• 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

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. 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 Pattern

Working 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.

About the Business

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.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants 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 orientation, gender identity, genetic information, or any other characteristic protected by law.

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