Lead Semantic Data Engineer

About the role

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.

Key responsibilities

• Design and implement scalable knowledge graph architectures to integrate multi‑modal data (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 (RDF, property graphs, SPARQL/Cypher) and partner with platform teams to implement scalable infrastructure (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.

Required profile

• Experience with semantic web technology stack (RDF, SPARQL).
• Proficiency in Amazon Web Services, especially serverless services (Lambda, Step Functions).
• Strong data engineering background (SQL queries, ETL jobs).
• Programming expertise in Python.
• Familiarity with DevSecOps practices (CI/CD, Git, Infrastructure‑as‑Code, Docker).

Required skills

• AWS
• Python
• RDF
• SPARQL
• SQL
• Docker
• Git
• Terraform
• CloudFormation
• Lambda
• Step Functions
• CI/CD
• ETL
• Graph Databases
• Machine Learning
• Artificial Intelligence
• Atlassian JIRA
• Data Engineering
• Chemical Informatics

What we offer

• Exciting work in a global, international environment with opportunities to learn and grow.
• Pension and health contributions, generous leave policies, and parental benefits.
• Cafeteria‑style tax‑free benefits, Multisport card, and various discount programs.
• Up‑to‑date laptop, iPhone, parking, showers, and refreshments.
• Competitive salary, incentive pay, and internal reward system.