Semantic Data Engineer

EUROPEAN DYNAMICS·Remote(Greece)
Software Development

WFA Digital Insight

The demand for skilled data engineers with expertise in semantic technologies has grown significantly, with over 25% of companies now utilizing knowledge graphs. As the remote job market continues to evolve, professionals with strong backgrounds in data modeling, ontology design, and SPARQL queries are in high demand. EUROPEAN DYNAMICS, a leading European software company, is seeking a talented Semantic Data Engineer to support their complex platform. With a strong focus on innovation and employee growth, this role offers a unique opportunity for professionals to work on cutting-edge projects and collaborate with a team of experts. Before applying, candidates should be prepared to showcase their technical skills, experience with semantic technologies, and ability to work in a fast-paced, remote environment.

Job Description

About the Role

The Semantic Data Engineer will play a critical role in supporting the development and maintenance of a complex platform built around RDF data models, SPARQL queries, and structured datasets. As a key member of the team, you will work closely with backend engineers and architects to understand, maintain, and evolve the semantic layer of the system. This role is ideal for a specialist who enjoys data modeling, semantics, and knowledge representation in real-world production systems.

The successful candidate will have a strong technical background, excellent problem-solving skills, and the ability to work effectively in a remote team environment. You will be responsible for analyzing and maintaining RDF/TTL data models and vocabularies, developing and optimizing SPARQL queries, and supporting data ingestion, transformation, and validation workflows.

What You Will Do

  • Analyze and maintain RDF/TTL data models and vocabularies
  • Develop, optimize, and maintain SPARQL queries
  • Support data ingestion, transformation, and validation workflows
  • Ensure consistency and correctness of semantic data across the platform
  • Collaborate with backend engineers to integrate semantic logic into application flows
  • Assist in documenting semantic models, assumptions, and constraints
  • Participate in troubleshooting data quality and reasoning issues
  • Work closely with the development team to identify and prioritize project requirements
  • Stay up-to-date with industry trends and emerging technologies in semantic data engineering

What We Are Looking For

  • 3+ years of experience working with semantic or data-centric systems
  • Strong knowledge of RDF, RDFS, OWL, and SPARQL
  • Experience with knowledge graphs or semantic interoperability platforms
  • Data modeling and ontology design skills
  • Comfortable working with structured data formats: TTL, XML, JSON, CSV
  • Ability to analyze existing models and understand implicit domain logic
  • Excellent problem-solving skills and attention to detail
  • Strong communication and teamwork skills
  • Experience working in a remote team environment

Nice to Have

  • Experience with triplestores or graph databases
  • Familiarity with EU data standards or interoperability frameworks
  • Python scripting for data processing and/or Apache Airflow
  • Experience in projects with regulatory or standards-driven constraints

Benefits and Perks

  • Competitive full-time salary
  • Private health coverage on the company's group program
  • Flexible working hours
  • Top-of-the-line tools and technologies
  • Professional development opportunities, including language courses and specialized training
  • Career growth opportunities, working with a team of innovative and exciting specialists
  • Dynamic work environment with challenging goals, autonomy, and mentoring
  • Remote work opportunities with a global team
  • Access to cutting-edge technologies and projects
  • Opportunity to work on high-impact projects with a leading European software company

How to Stand Out

  • When applying, make sure to highlight your experience with RDF, SPARQL, and knowledge graphs, as these are key skills for the role.
  • Showcase your ability to work effectively in a remote team environment, with strong communication and problem-solving skills.
  • Be prepared to discuss your experience with data modeling, ontology design, and semantic technologies in your interview.
  • Consider including examples of your work with semantic data engineering projects, such as GitHub repositories or personal projects.
  • Don't be afraid to ask about the company culture, team dynamics, and opportunities for growth and professional development during the interview process.
  • Research the company's current projects and technologies to demonstrate your interest and enthusiasm for the role.
  • Prepare to discuss your experience with triplestores, graph databases, and other relevant technologies, even if they are not explicitly mentioned in the job description.

This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.