Lead Knowledge Graph Engineer

Data Software Engineering

Location-specific conditions & benefits*

Portugal

We are seeking a talented and experienced Lead Knowledge Graph Engineer to design, build, and manage cutting-edge knowledge graph solutions, enabling better insights through semantic data engineering and advanced data manipulation techniques.

This role requires a forward-thinking individual passionate about leveraging graph-based technologies to address complex business problems.

Responsibilities

Develop and maintain scalable knowledge graph architectures for data-centric applications
Utilize semantic data engineering techniques to integrate, transform, and query large and complex datasets
Design and implement data models using RDF, RML, and R2RML for improved data consistency and interoperability
Collaborate with teams to deploy, manage, and optimize RDF triple store engines such as AnzoGraph and Amazon Neptune
Ensure successful querying and manipulation of data through technologies like SPARQL, XML, and JSON
Provide mentorship to team members to drive expertise in graph-based technologies and methodologies
Analyze unstructured datasets and identify opportunities for data-driven insights and process improvements
Support cloud-based initiatives with proven experience in AWS platform and cloud computing environments
Partner with cross-functional teams to solve complex data challenges in a fast-moving, agile environment
Build and optimize data processes for transformation, metadata management, and workload handling
Conduct root cause analysis on internal or external data to ensure data integrity and accuracy
Stay informed about emerging technologies in graph databases, data modeling, and semantic web

Requirements

5+ years of experience in semantic data engineering, working with technologies like RDF, SPARQL, and XML
Proven proficiency in Python and SQL for data querying, extraction, and transformation
Experience working with graph query languages and engines, including Tinkerpop, Gremlin, or SPARQL
Background in graph databases, preferably AnzoGraph and Amazon Neptune, with familiarity in other RDF triple store engines
Knowledge of NLP engines or LPG-style knowledge graphs is beneficial but not mandatory
Capability to work with AWS platforms, demonstrating expertise in cloud computing environments
Strong analytic and technical problem-solving skills, including working with unstructured datasets
Experience with Java programming language for data-centric applications is a plus
Skills in modeling normalized data structures and operationalizing knowledge graphs
Strong communication, collaboration, and interpersonal skills to engage with cross-functional teams

Nice to have

Familiarity with technologies like Tinkerpop and Gremlin to enhance graph-based solutions
Expertise in building LPG engines and leveraging them for advanced analytics
Understanding of data architecture frameworks for integrating knowledge graphs on cloud platforms
Exposure to advanced methodologies in data modeling and semantic enrichment

Benefits

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn