Graphwise is on a mission to revolutionize how enterprises leverage AI through cutting-edge knowledge graph technology. We’re looking for a talented Data Engineer to join our Technology Solutions team and help our clients transform their data into intelligent, connected insights.
About Graphwise:
Graphwise enables organizations to unlock ROI for enterprise AI by delivering the most comprehensive and trusted industry solutions in the field of knowledge graphs and semantic AI technologies. Graphwise delivers the critical knowledge graph infrastructure to ensure enterprises are ready to realize the technology’s full potential. Graphwise, which is the result of the merger between tech visionaries Ontotext and Semantic Web Company, has over 200 employees worldwide, with offices located across North America, Europe, and APAC.
We’re not just another data or outsourcing company. We’re where semantic AI meets real-world impact. If you are interested in technology and in working in a close-knit, dynamic environment, Graphwise might be the right fit for you!
About the Role:
As a Data Engineer in our Technology Solutions team, you’ll be at the intersection of data engineering, semantic technologies, and AI. You’ll architect data pipelines that transform chaos into knowledge, working with diverse datasets across industries to build powerful Knowledge Graphs that drive enterprise AI solutions.
Your Main Responsibilities:
- Engineer the future: Design and build robust data pipelines that convert heterogeneous data sources into unified Knowledge Graphs
- Tame data entropy: Parse, integrate, and harmonize massive datasets froм structured and unstructured sources
- Harmonize siloed data to make it make sense: Transform raw data using modern ETL patterns and semantic technologies
- Champion quality: Implement data governance frameworks, quality checks, and automated testing
- Innovate constantly: Drive adoption of cutting-edge tools and methodologies in semantic data modeling and ontology engineering
- Collaborate with purpose: Work directly with clients to solve complex data challenges
As the ideal candidate, you will have:
Must-haves:
- Programming skills in Python, Java, Scala, or similar
- Strong foundation in data modeling, ETL processes, and exploratory data analysis
- Proficiency in data transformation and cleaning techniques
- Git version control and CI/CD pipeline experience
- Excellent English communication skills
- A passion for continuous learning
Nice-to-haves:
- Hands-on experience with schema languages (RDFS/OWL, RDF shapes, JSON Schema, etc.)
- Experience with graph databases and SPARQL
- Knowledge of industry standards (CIM, IFC, IoT/WoT)
- Background in semantic web technologies or knowledge graphs
What We Offer:
- Impact: Work on projects that shape how enterprises use AI and knowledge graphs
- Growth: Access to cutting-edge training, conferences, and collaboration on innovation projects
- Culture: A friendly and professional international team where more than 65% of colleagues come from across the globe
- Balance: Flexible working hours and benefits that reflect our belief that a healthy work-life balance is a key driver of efficiency
- Perks: All the good stuff – great coffee, healthy snacks, and a workspace designed for collaboration
Graphwise welcomes applicants of all backgrounds regardless of race, ethnicity, sexual orientation, gender expression, age, disability, and other statuses. Our company culture as well as policies enforced by our active Diversity Equity & Inclusion Group work towards ensuring we have an inclusive workplace.
