Specialist, Semantic Data Engineer

CZE - Central Bohemian - Prague (Five)

Actively hiring, first seen by us 1 day ago

Pay: Pay not listed
Work setting: Hybrid — work setting source
Flexible Work Arrangements: Hybrid Shift:
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization: Sponsors visas

What you’ll work on

Full posting

Design and implement scalable knowledge graph architectures for multi-modal data
Build and manage graph data models for samples, processes, assays, and targets
Drive adoption of graph technologies such as RDF, property graphs, and SPARQL/Cypher
Partner with platform teams on scalable infrastructure such as Amazon Neptune
Ensure performance, scalability, and governance of knowledge graph platforms

From the employer’s posting

Design and implement scalable knowledge graph architectures to integrate multi-modal data

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

What you’ll bring

All qualifications

Preferred experience

11/6/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date.

Qualification wording

11/6/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Apply at Merck

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 2, 20261 day ago
Recorded sightings: 3
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Merck is hiring

47 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is picking up
Takes jobs down quickly
2% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Docker
Terraform

Where the posting names them

- 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)

Required Skills: Amazon Web Services (AWS), CI/CD, Collaboration, Communication, DevSecOps, Extract Transform Load (ETL), Graph Databases, Infrastructure As Code (IaC), Python (Programming Language), Resource Description Framework (RDF), SPARQL, Structured Query Language (SQL), Version Control Preferred Skills:

- Amazon Web Services (AWS), particularly the serverless services (e.g., Lambda, Step Functions) - Data engineering (e.g., SQL queries, ETL jobs) - Programming in Python

- Semantic web technology stack (e.g., RDF data format, SPARQL query language) - Amazon Web Services (AWS), particularly the serverless services (e.g., Lambda, Step Functions) - Data engineering (e.g., SQL queries, ETL jobs)

Preferred Skills: Artificial Intelligence (AI), Atlassian Confluence, Atlassian JIRA, AWS CloudFormation, Cheminformatics, Docker (Software), Git, Machine Learning (ML), Pharmaceutical Research, Terraform (Software) Current Employees apply HERE

- 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

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

Our company is seeking a semantic data engineer to build, and scale enterprise-grade knowledge graph solutions that power advanced analytics and decision-making in pharmaceutical research. This role will implement 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

Required experience and skills

Semantic web technology stack (e.g., RDF data format, SPARQL query language)
Amazon Web Services (AWS), 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

Additional location(s) Compensation Information:

Required Skills:

Amazon Web Services (AWS), CI/CD, Collaboration, Communication, DevSecOps, Extract Transform Load (ETL), Graph Databases, Infrastructure As Code (IaC), Python (Programming Language), Resource Description Framework (RDF), SPARQL, Structured Query Language (SQL), Version Control

Preferred Skills:

Artificial Intelligence (AI), Atlassian Confluence, Atlassian JIRA, AWS CloudFormation, Cheminformatics, Docker (Software), Git, Machine Learning (ML), Pharmaceutical Research, Terraform (Software)

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:

Hazardous Material(s):

N/A

Job Posting End Date:

11/6/2026

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

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