Senior Data Discovery and Enrichment Expert II

Job Description
Senior Data Discovery and Enrichment Expert II
Do you enjoy being part of a global team that works with a diverse range of products and technology?
Do you enjoy mentoring other engineers, and helping them grow their careers?
About Our Team
Knowledge Innovation & Taxonomy Engineering (KITE) is the team within Elsevier Operations responsible for the taxonomies, vocabularies and knowledge graphs that sit beneath many of Elsevier’s products. In plain terms, a taxonomy is a structured, standardized, vocabulary of concepts, - such as diseases, drugs, materials or research topics — and the relationships between them. This shared structure is what lets our products tag content consistently, return relevant search results, connect related information, and feed reliable, well-grounded answers to AI features.
Main areas of work
Taxonomy automation development — pipelines, scripts and tools that speed up taxonomy creation and editorial work.
Platform development and support for CENtree, the shared taxonomy-management system used across all teams.
Automated Curation and enrichment of taxonomies with semantic structure and relationships and their operationalization as reusable services.
About The Role
We are looking for an individual to support our team in linking our existing taxonomies and ontologies in a meaningful way, applying linked data standards and best practices. The ideal candidate combines strong technical skills in semantic web technologies with a solid understanding of data modelling for knowledge organization systems.
Responsibilities
Design and implement methods for linking and aligning existing taxonomies and ontologies
Model and maintain controlled vocabularies, taxonomies and ontologies using SKOS, SKOS-XL, and OWL
Query and manipulate semantic data using SPARQL
Integrate taxonomy/ontology data with other systems via REST APIs
Write and maintain Python scripts/tools to support data modeling and integration workflows
Collaborate with the team to understand data needs and translate them into semantic data models
Requirements
Extensive hands-on experience with SPARQL
Advanced Python programming skills
Experience working with REST APIs
Good data modelling experience
Experience with at least one taxonomy/ontology management tool (e.g., Centre, Synaptica, Top Braid, Protégé, or equivalent)
Understanding of linked data standards and principles
Familiarity with semantic web standards (RDF, RDFS, JSON-LD)
Ability to understand and translate business/data needs into semantic modeling solutions
Nice to Have
Prior experience linking or aligning multiple taxonomies/ontologies at scale
Experience using Git/GitHub
Understanding of AWS (specifically Batch, Lambda, Athena, S3, ECR, RDS, SNS/SQS)
Hands-on knowledge of automation, CI/CD a plus
Background in Life Sciences or similar
Experience with SHACL
Work in a way that works for you: -
We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.
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.
Working for you: -
Benefits
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Group Health Insurance Policy (covering self and family)
Group Life insurance/accident policy
Generous long-service awards
New Baby gift
Subsidized food provided (applies to India- Chennai)
Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
Free Transport provided to and from the office (applies to India-Chennai)
About Us: -
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
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.

Work arrangement
No