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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 IT Semantic Engineer - RDT Data Platforms Description Of The Area The IT 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. The Opportunity: 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 Who you are: 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 configurations, and navigating corporate proxy/gateway patterns Data Strategy: Practical familiarity with FAIR principles and their implementation across enterprise data architectures Workflow Orchestration: Practical experience with distributed workflow management platforms (e.g. Temporal) is a plus Search & Indexing: Hands-on experience deploying, configuring, and managing OpenSearch for enterprise data retrieval and search capabilities is a plus Additional Qualifications Exceptional communication and collaboration skills, with the proven ability to engage effectively with both technical audiences (like data scientists) and non-technical business stakeholders What you get: Salary range 14 175-26 325 PLN gross based on the employment contract Annual bonus payment based on your performance Dedicated training budget (training, certifications, conferences, diversified career paths etc.) Recharge Fridays (2 Fridays off per quarter available) Take time Program (up to 3 months of leave to use for any purpose) Vacation subsidy available Flex Location (possibility to perform our work from different places in the world for a certain period of time) Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice) Private healthcare (LuxMed packages), group life insurance (UNUM) and Multisport Stock share purchase additions Yearly sales of company laptops and cars and many more! Apply directly and join us in shaping the future of healthcare. If you feel this offer suits a friend of yours, feel free to share it. Want to know what it’s like to be a part of Roche IT first-hand? Check out our blog! https://careers.roche.com/global/en/we-are-roche ….. Administratorem Twoich danych osobowych jest spółka Roche Polska Sp. z o.o., ul. Domaniewska 28, 02-672 Warszawa. Dane przetwarzane są w celu prowadzenia rekrutacji. Przysługuje Ci prawo dostępu do treści swoich danych, ich sprostowania, usunięcia, ograniczenia przetwarzania, przenoszenia oraz – w sytuacji, gdy są one przetwarzane na podstawie udzielonej zgody – cofnięcia tejże zgody w dowolnym momencie. Kontakt do Inspektora Ochrony Danych: ochrona.danych@roche.com . Więcej informacji o zasadach przetwarzania przez Roche Twoich danych osobowych pod linkiem: https://www.roche.pl/pl/content/klauzula-informacyjna-rekrutacja-pl.html The controller of your personal data is Roche Polska Sp. z o.o., ul. Domaniewska 28, 02-672 Warsaw. The data is processed for the purpose of recruitment. You have the right to access your data, rectify it, delete it, limit processing, transfer it and - if processing is based on your consent - withdraw this consent at any time. Contact the Data Protection Officer at: Ochrona.danych@roche.com. More information on the principles of processing your personal data by Roche at the link: https://www.roche.pl/pl/content/klauzula-informacyjna-rekrutacja-en.html Roche Polska Sp. z o.o. działa w pełnej zgodności z przepisami prawa i nie toleruje żadnych naruszeń. W Roche Polska Sp. z o.o. obowiązuje Procedura zgłaszania naruszeń prawa. W przypadku chęci zgłoszenia nieprawidłowości związanych z naszą działalnością, wszelkie niezbędne informacje dotyczące zgłaszania naruszeń znajdują się na naszej stronie internetowej: https://www.roche.pl/kontakt/ochrona-sygnalistow-zglaszanie-naruszen . Roche Polska sp. z o.o. operates in full compliance with the law and does not tolerate any violations. Roche Polska sp. z o.o. has implemented a Procedure for Reporting Violations of Law. If you wish to report any irregularities related to our activities, all necessary information regarding the reporting process can be found on our website: https://www.roche.pl/kontakt/ochrona-sygnalistow-zglaszanie-naruszen . Compensation & Benefits The expected salary range for this position, based on the primary location of Warsaw Grafit is 170,100.00 PLN - 315,900.00 PLN. Final co
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.