Graph Data Engineer (m/f/d)

For our client in Bavaria we are looking for a Graph Data Engineer (m/f/d) - remote

Your tasks:
- Working with business stakeholders to design schemas, define entities and relationships to model structured and unstructured data from diverse sources for ingestion into the knowledge graph
- Integration of additional internal and external data sources to expand the data coverage of the knowledge graph
- Implementation and maintenance of robust and scalable ingestion workflows for data feeding into the AKS-hosted knowledge graph
- Implementing, monitoring, and analyzing key data quality indicators to ensure high-quality data within the knowledge graph
- Development of machine learning models to infer new connections and deduplicate data within the graph
- Participation in architectural decisions and conduct code reviews
- Participation in project meetings in accordance with the SCRUM methodology (daily, planning, review, retro, …)
- Adhering to security, compliance, and data privacy requirements

Your qualification:
- Experience with Knowledge Graphs (e.g. with Neo4j or TigerGraph)
- Experience with graph languages (e.g. SPARQL, GraphQL, Cypher)
- Fluent in Python with experience in writing clean and well-tested code
- Experience with building ETL pipelines and with workflow engines (e.g. Argo Workflows)
- Experience with cloud platforms, such as Microsoft Azure
- Experience with large-scale data processing such as PySpark (e.g. in Databricks)
- Familiarity with troubleshooting database issues and perform backup and recovery procedures
- Proficient in professional software development practices and enterprise code management, including branching, reviewing, merging, and scaling of code
- Familiarity with SCRUM methodology for agile project management
- Project languages: English
- Understanding of graph traversal and graph algorithms (nice to have)
- Experience with logging and alerting (e.g. Datadog) (nice to have)
- Experience with semantic search technologies, such as Pinecone, Weaviate, Elastic or similar platforms (nice to have)