Python Software Engineer

Elsevier; Cambridge; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Country-specific benefits

Job summary

Elsevier is seeking a DataOps Engineer to maintain and evolve data and ontology pipelines that power our AI and NLP technology stack. You will collaborate with Ontology and Data Science teams to build high-quality vocabularies and data products, while crafting automation and software solutions to boost efficiency and customer outcomes.

You will contribute to production-grade pipelines, work with AWS Batch, Step Functions and Lambda, and support ongoing data operations across multiple cloud

Qualifications

• Experience in Python software development.
• Experience with pytest or unittest; code reviews.
• Proficiency with UNIX and command-line environments.
• Experience using GitHub for version control.
• Experience with cloud technologies (AWS, GCP, Azure).
• Excellent teamwork and problem-solving skills.
• Experience in production environments.
• Experience with Puppet or Terraform for orchestration.
• Experience in Python GUI development.
• Experience with ontologies or XML.
• Knowledge of compute clusters and workflow management.

Responsibilities

• Maintain and improve ontology import pipelines.
• Support Ontology Team in building vocabularies and ontologies.
• Provide support for customer projects as needed.
• 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.
• Improve DataOps processes and tooling.

Skills

Python

UNIX

GitHub

Cloud platforms

PyTest

XML

Terraform

Puppet

GUI development

Compute clusters

Tools

AWS

GCP

Azure

Job description

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.

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.

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.

USA Job Seekers: EEO Know Your Rights.

Elsevier is a global leader in advanced information and decision support for science and healthcare.

We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence.

By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.

We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses.

Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all. With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world.

We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.

Elsevier is part of RELX Group. Let’s shape progress together. Join us. elsevier.com/about/careers