Bachelor or Master’s in a quantitative degree (Computer Science, Information Systems, Engineering, Physics, Maths) or equivalent professional experience
Experience:
5+ years in data engineering
Ideally experience in semantic technologies and graph database design
Hands-on experience with GraphDB, Neo4j or other equivalent software
Fluent in Python & SQL, RESTful APIs and web scraping for data pipelines and automation.
Further proficiency in Java, or Scala or similar
Familiarity with RDF representation beneficial
Familiarity with ETL frameworks (Spark especially) and cloud data platforms (Databricks).
Experience with data warehousing concepts, dimensional modeling, and big data technologies
Ability to design, document and optimize complex data architectures
Experience in integrating data solutions into existing business processes and IT landscapes, including interface management and deployment
Familiarity with sprint-based development, CI/CD and associated tooling (JIRA, Confluence, Github etc…)
