Data Engineer designing and building Knowledge Graphs from diverse datasets for enterprise AI solutions at Graphwise. Collaborating with clients to tackle data challenges in a cutting-edge environment.
Responsibilities
Design and build robust data pipelines that convert heterogeneous data sources into unified Knowledge Graphs
Parse, integrate, and harmonize massive datasets from structured and unstructured sources
Transform raw data using modern ETL patterns and semantic technologies
Implement data governance frameworks, quality checks, and automated testing
Drive adoption of cutting-edge tools and methodologies in semantic data modeling and ontology engineering
Work directly with clients to solve complex data challenges
Requirements
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
Benefits
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
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