Senior Data Engineer – AI, GraphRAG

This is a fully remote position, open to applicants in Czechia.

📋 Description

• Data Modeling and ETL Development

• Develop ETL pipelines

• Create data models

• Design and execute GraphRAG solutions that integrate knowledge graphs, vector search, metadata, and LLM-based retrieval.

• Develop Source to Target Mappings (STMs) for ETL specifications.

• Implement automated ingestion patterns, incremental (delta) updates, and streaming/CDC workflows.

• Collaboration and Agile Development

• Collect requirements, establish targets, define interface specifications, and facilitate design sessions.

• Collaborate closely with data consumers to ensure seamless integration.

• Adapt and grow in a dynamic project environment.

⛳️ Requirements

• Strong SQL expertise for ETL processes, data modeling, and performance optimization.

• Familiarity with Neo4j, Cosmos DB, or Gremlin API.

• Proficient in Python, particularly for managing and flattening complex JSON structures.

• Practical experience with Microsoft Fabric, Synapse, ADF, or comparable cloud data architectures.

• Knowledge of GraphRAG, retrieval systems, LLMs, embeddings, and RAG pipelines.

• Understanding of software engineering and testing methodologies within an Agile framework.

• Experience with Data as Code, including version control, frequent and small commits, unit testing, CI/CD, packaging, and familiarity with containerization tools like Docker (mandatory) and Kubernetes (desirable).

• Exceptional teamwork and communication abilities.

• Proficient in English, showcasing strong written and verbal communication skills.

• Capable of building efficient, high-performance data pipelines for both real-time and batch processing.

• Nice to have: Experience with Databricks or similar data platforms.

• Familiarity with vector databases, Azure AI Search, or semantic search platforms.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible working hours and remote work options.

• Comprehensive health and wellness programs.

• Collaborative and innovative work environment.