Lead Semantic Data EngineerVerified as a real position

Who we’re looking for

• Semantic web technology stack (e.g., RDF data format, SPARQL query language)
• Amazon Web Services, particularly the serverless services (e.g., Lambda, Step Functions)
• Data engineering (e.g., SQL queries, ETL jobs)
• Programming in Python
• Experience with DevSecOps practices like continuous integration (CI) and continuous delivery (CD), source code version control (e.g., Git), infrastructure-as-code (e.g., CloudFormation, Terraform), and containers (e.g., Docker)

What you’ll do

• Design and implement scalable knowledge graph architectures to integrate multi-modal data (e.g., omics, process, analytical, lineage)
• Build and manage graph data models representing entities such as samples, processes, assays, targets, and biological relationships
• Drive adoption of graph technologies (e.g., RDF, property graphs, SPARQL/Cypher)
• Partner with platform teams to implement scalable infrastructure (e.g., Amazon Neptune, serverless pipelines)
• Ensure performance, scalability, and governance of knowledge graph platforms
• Collaborate with product managers, scientists, data engineers, and AI/ML teams to translate business needs into semantic models
• Define and execute the knowledge graph roadmap aligned with enterprise data product strategy
• Mentor engineers and establish best practices in ontology development, modeling, and graph engineering
• Drive adoption of knowledge graph capabilities across use cases and programs

About the position

Our company is seeking a lead semantic data engineer to architect, build, and scale enterprise-grade knowledge graph solutions that power advanced analytics and decision-making in pharmaceutical research. This role will lead the design of semantic data layers that integrate heterogeneous scientific datasets, enabling end-to-end traceability, cross-domain insights, and AI/ML-driven discovery. The ideal candidate will combine deep expertise in knowledge graphs, ontology engineering, and data engineering, with strong domain awareness in pharmaceutical R&D.

Benefits

• Exciting work in a great team, global projects, international environment
• Opportunity to learn and grow professionally within the company globally
• Pension and health (Canadian Medical) contributions
• Internal reward system plus referral program
• 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
• Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport card, Vodafone, Raiffeisen Bank and Foodora discount programs
• Up-to-date laptop and iPhone, parking in the garage, showers, refreshments
• Competitive salary, incentive pay, and many more