Senior Consultant - Knowledge Graph and Semantic Engineer

Job Title: Senior Consultant - Knowledge Graph and Semantic Engineer

career level: D3

Introduction to role:

Join AstraZeneca Operations IT, where your work directly impacts patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak, combining powerful science with leading digital technology platforms and data. With a passion for impacting lives through data, analytics, AI, machine learning, and more, we offer a dynamic and challenging environment filled with opportunities to learn and grow. Be part of a team that innovates, disrupts an industry, and changes lives.

Accountabilities:

As a Senior Consultant in Knowledge Graph and Semantic Engineering, you will design and develop ontologies, semantic models, and property graphs representing key business concepts in manufacturing and supply chain. You will define reusable graph patterns, apply standard methodologies in knowledge graph modeling, and develop SPARQL and Cypher queries for integrating, retrieving, and validating semantic data. You will support the integration of structured and unstructured data using semantic modeling and graph-based approaches. Collaborate with stakeholders to define business-driven semantic use cases and technical requirements, maintain delivery backlogs, oversee implementation plans, and ensure alignment with business priorities. Partner with product owners, data engineers, and architects to drive adoption of semantic technologies across functions. Deliver training, guidance, and documentation to upskill team members and stake \holders on semantic technologies. Stay ahead of on developments in semantic web, property graphs, linked data, and graph-based AI/ML.

Essential Skills/Experience:

• Hands-on experience with Neo4j and Cypher query development.

• Solid grounding in RDF, OWL, SHACL, SPARQL, and semantic modeling standard methodologies.

• Strong proficiency in Python (or an equivalent language) for automation, data transformation, and pipeline integration.

• Demonstrated ability to define use cases, structure delivery backlogs, and manage technical execution.

• Strong problem-solving and communication skills, with a delivery-focused mindset.

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (Master’s preferred).

Desirable Skills/Experience:

• Experience with additional graph platforms such as GraphDB, Stardog, or Amazon Neptune.

• Familiarity with Cognite Data Fusion, IoT/industrial data integration, or other large-scale operational data platforms.

• Understanding of knowledge representation techniques and reasoning systems.

• Exposure to AI/ML approaches using graphs or semantic features.

• Knowledge of tools such as Protégé, TopBraid Composer, or VocBench.

• Familiarity with metadata standards, data governance, and FAIR principles.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

straZeneca is a place where diverse minds work inclusively to drive change across international boundaries. We couple technology with an inclusive mindset to develop a leading ecosystem. Our cross-functional teams bring together the best minds from across the globe to uncover new solutions. We think holistically about applying technology while building partnerships inside and out. By driving simplicity and efficiencies, we make a real difference.

Ready to make an impact? Apply now to join our team!

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.