Lead Semantic Data Engineer

MSD


Job Location:

Prague - Czech Republic

Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Job Description

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.

Key responsibilities

  • 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

Required experience and skills

  • 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)

Desired experience and skills

  • Cheminformatics and familiarity with the pharmaceutical research

  • Exposure to AI/ML applications leveraging graph data

  • Good communication and collaboration skills and ability to collaborate with other teams to develop solutions

  • Experience with Atlassian stack of tools for agile software development (e.g. Jira Confluence)

  • Demonstrate growth mindset and ability to work with enterprise teams

What We Offer

  • 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

Ready to take up the challenge Apply now!
Know anybody who might be interested Refer this job!

The date shown below is the earliest possible closing date for this posting. However we sometimes extend the job posting period as needed so please feel free to apply anytime you see the Apply button may also reach out to the recruiter directly via Skills:

Amazon Web Services (AWS) Artificial Intelligence (AI) Atlassian JIRA AWS CloudFormation AWS Lambda AWS Step Functions Chemical Informatics CI/CD Collaboration Communication Data Engineering Docker (Software) Extract Transform Load (ETL) Git Graph Databases Infrastructure As Code (IaC) Machine Learning (ML) Pharmaceutical Research Python (Programming Language) Resource Description Framework (RDF) SPARQL Structured Query Language (SQL) Terraform (Software) Web Containers

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully
Merck & Co. Inc. Rahway NJ USA also known as Merck Sharp & Dohme LLC Rahway NJ USA does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place introductions are position specific. Please no phone calls or emails.

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

07/4/2026

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.


Required Experience:

IC

Job DescriptionOur 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 heterogeneou...

About Company

Company Logo

Merck & Co., Inc., Kenilworth, New Jersey, USA is known as “Merck” in the United States, Canada & Puerto Rico. We are known as “MSD” in Europe, Middle East, Africa, Latin America & Asia Pacific. We are a global biopharmaceutical leader with a diverse portfolio of prescription medicine ... View more

View Profile View Profile