Data Engineer - Knowledge Graphs & Semantic Technologies
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 31d ago
The date the source published, not the day we noticed it (2026-10-02). Last seen at its source 1h ago.
We have tracked this listing since 18 Oct 2026 (14 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
JazzHR employer's own board first seen 14d ago · last seen 1h ago
The listing
At RCH, our Core Values are more than just words—they represent the threads that weave together the fabric of our culture. Used as a guide when interviewing new team members; as a barometer when evaluating our performance as individuals and teams, and even when deciding which customers to work with, RCH’s Values embody the behaviors upon which we measure our success and create a framework for our growth as people and professionals.
Our Core Values:
- Embrace Excellence: We strive for best-in-class delivery of innovation and service.
- Be Accountable: Integrity, ownership and accountability are non-negotiables.
- Adventure Together: We are committed to fostering a culture that embraces continuous improvement.
- Succeed as a Team: We believe harnessing the power of a team drives outcomes not achievable by individuals.
- Boundaries and Balance: Work-life balance is a core facet of our culture.
About the profile
RCH Solutions is looking for a Data Engineer specialised in knowledge graphs and semantic technologies to join our growing Data and AI Engineering team of professionals who thrive at the intersection of data, technology, and healthcare. This is a hands-on role for someone who can take ownership of a semantic layer end to end — shaping the approach with clients and colleagues, not just implementing a specification handed to them.
At RCH, you’ll build knowledge graphs in Stardog that connect fragmented life science data — across research, clinical, regulatory and operational domains — into models that people and machines can actually reason over. You’ll work alongside our data platform and AI engineers, contributing the semantic backbone to modern data mesh and data fabric architectures.
Responsibilities
- Design, build and evolve knowledge graphs in Stardog, from conceptual model through to production deployment.
- Model domain ontologies, taxonomies and vocabularies using RDF, RDFS, OWL and SKOS, and enforce them with SHACL constraints.
- Write, optimise and troubleshoot SPARQL queries, rules and inference over large graphs.
- Integrate heterogeneous sources into the graph using virtual graphs and mappings (R2RML and similar) from relational databases, APIs, files and semi-structured data.
- Run discovery sessions with subject matter experts, turning business questions into competency questions and a defensible semantic model.
- Align internal models with life science standards and public ontologies, and manage identifier mapping and entity resolution across sources.
- Automate graph builds, tests and deployments through CI/CD pipelines and Python tooling.
- Embed data quality, validation and reconciliation checks into the graph lifecycle.
- Document models and enable others — governance, lineage, and reusable semantic assets that outlive the project.
- Work in agile teams, contributing to standups, retrospectives, and continuous improvement.
Essential Qualifications
- Hands-on experience delivering production knowledge graph solutions with Stardog. Experience with other RDF triplestores (GraphDB, Amazon Neptune, Virtuoso, Anzo) counts as transferable if you’re ready to go deep on Stardog.
- Strong command of semantic web standards: RDF, RDFS, OWL, SKOS, SHACL and SPARQL.
- Practical ontology and taxonomy modelling - able to move from stakeholder conversations and messy source data to a model that holds up in production.
- Experience mapping and virtualising relational and semi-structured sources into a graph.
- Solid Python and SQL for data preparation, transformation, automation and troubleshooting.
- Comfortable with Git-based workflows and CI/CD (GitHub Actions or Azure DevOps).
- Experience working with life science or healthcare data, and comfortable with the quality and regulatory expectations that come with it.
- Autonomy and ownership: you scope your own work, propose an approach, defend it, and bring the team along — rather than waiting for a fully specified ticket.
- Working knowledge of data quality, validation frameworks, and test-driven data development.
- Team-first mindset and experience in agile environments (Scrum or Kanban).
Preferred Qualifications
- Familiarity with public life science ontologies and terminologies (e.g. SNOMED CT, MeSH, ChEBI, UMLS, LOINC).
- Exposure to at least one life science domain: clinical and clinical trial data (CDISC, SDTM), R&D and drug discovery, regulatory (RIM, IDMP), or manufacturing, supply chain and quality.
- Understanding of GxP or other healthcare data regulations.
- Familiarity with FAIR data principles.
- Experience combining graphs with AI — GraphRAG, vector search, or LLM-assisted ontology work.
- Exposure to property graphs (e.g. Neo4j) and how they compare with RDF.
- Knowledge of data lineage, catalog and governance tooling.
- Infrastructure automation using Terraform, Bash, or PowerShell, and containers (Docker, Kubernetes).
Additional information
Great talent should benefit from a great work environment. If you join our team, you’ll have access to:
- A competitive salary and bonus package based on experience.
- Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance.
- Company-provided Life and Long-Term Disability Insurance.
- Company-sponsored 401(k) Plan.
- Team-focused culture and unlimited opportunity for advancement.
**Role is only open to applicants not needing sponsorship now or in the future, no third parties please.