# Semantic Engineer - RDT Data Platforms at Roche

Roche is hiring a Semantic Engineer - RDT Data Platforms in Warsaw, Poland. It pays PLN 170k-PLN 316k a year and Level rates it Works on AI ●●●○; you can [apply on Roche](https://jobsbylevel.com/go/a58f2872-7aae-45c9-9efa-b02926c91a89?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Warsaw.

## Details

- Company: [Roche](https://jobsbylevel.com/companies/roche)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Warsaw
- Salary: PLN 170k-PLN 316k
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/a58f2872-7aae-45c9-9efa-b02926c91a89?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=semantic-engineer-rdt-data-platforms-at-roche-f10fa5

## Prepare for this job

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## Description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Semantic Engineer - RDT Data Platforms The Semantic Engineer is responsible for leading, designing, developing, and maintaining our enterprise-level semantic hub. This platform serves as the foundational data layer bridging the gap between vast enterprise knowledge and advanced AI systems. In this role, you will integrate diverse data and metadata sources into a unified knowledge graph, design common ontologies to expose disparate datasets uniformly, build robust APIs and integration protocols for AI consumption. The ultimate goal is to provide high-precision enterprise context to AI assistants and intelligent agents - grounding their responses, enabling reliable workflow execution, and eliminating AI hallucinations. Job Responsibilities Scope / Content Leadership: Leads the design, build, and maintenance of scalable data pipelines and graph architectures. Independently drives data integration projects from ingestion to semantic transformation, establishing unified enterprise ontologies. Accountability / Problem Solving: Solves complex data modeling, ingestion, and querying challenges. Evaluates, benchmarks, and optimizes the performance of data access tools to ensure AI systems fetch enterprise context efficiently, accurately, and with minimal latency. Stakeholder Management: Collaborates directly with data owners, domain experts, and AI application teams to thoroughly understand business requirements. Translates complex business use cases into robust schemas and standardized data endpoints. Impact / Strategy: Drives the technical evolution of the hub’s delivery architecture. Implements robust strategies for distributed data indexing, orchestration, and access, while embedding FAIR principles (Findable, Accessible, Interoperable, Reusable) across all workflows. Complexity / Product Size: Manages a highly interconnected, large-scale enterprise knowledge system. Integrates complex, multi-source metadata systems into a uniform layer, navigating advanced infrastructure and enterprise gateway patterns to maintain seamless, automated deployments. Qualifications Education / Experience Demonstrated experience handling enterprise-scale data engineering projects and managing complex semantic web systems and knowledge graphs. Experience configuring, deploying, and maintaining infrastructure components in a Kubernetes environment using GitOps automation. Experience working with validated or qualified platforms (GxP) is a plus. Technical Skills Experience: Senior-level experience in data engineering, software engineering, or semantic web engineering with strong Python coding skills, a proven track record of autonomous delivery, and a focus on knowledge graphs or AI system enablement. Semantic & Graph Technologies: Hands-on experience with Graph databases (Ontotext GraphDB preferred, Neo4j) and core semantic web standards (RDF, OWL, SPARQL and ontology design). APIs & AI Protocols: Deep understanding of GraphQL API design and hands-on experience with the Model Context Protocol (MCP) to expose data tools to LLMs. DevOps & Infrastructure: Experience configuring, deploying, and managing containerized workloads within enterprise Kubernetes (Rancher/RKE2) environments. GitOps & CI/CD: Expert proficiency in Git-based workflows using trunk-based development, automated deployments via ArgoCD, and application packaging with Helm charts. Security & Networking: Solid practical understanding of secrets management using HashiCorp Vault (and Vault Secrets Operator), Linux networking, TLS

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/semantic-engineer-rdt-data-platforms-at-roche-f10fa5

Source: https://jobsbylevel.com/jobs/semantic-engineer-rdt-data-platforms-at-roche-f10fa5

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