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Data & AI Engineer
Cypher Consulting Europe S.L.Data & AI Engineer developing enterprise-grade AI Assistant with scalable data pipelines and LLM logic management. Focused on modern data engineering and AI application development.
Tech Stack
Tools & technologiesAzureCloudPython
About the role
Key responsibilities & impact- Build and maintain scalable data pipelines using Databricks and Azure Data Lake Storage Gen2 (ADLS Gen2), ensuring reliability and performance across all pipeline stages.
- Implement the Medallion Architecture (Raw → Silver → Gold layers) to clean, normalise, and structure technical documentation for downstream AI consumption.
- Design and develop the Reasoning Layer using frameworks such as LangChain or LlamaIndex to manage LLM logic, prompt routing, and tool orchestration.
- Manage and tune Vector Databases (e.g. Pinecone, Weaviate, or Azure AI Search) to enable fast and accurate semantic retrieval across the corporate knowledge base.
- Develop Azure Apps and Azure Functions to connect the AI system to external enterprise platforms such as Salesforce and SharePoint, enabling end-to-end automation.
Requirements
What you’ll need- 3–4 years in Data Engineering or Software Development with a strong focus on cloud-based data processing.
- Strong proficiency in Databricks and Python; comfortable working across the full data engineering lifecycle.
- Hands-on experience with LLM orchestration frameworks: LangChain, LlamaIndex, or similar.
- Solid understanding of the Azure ecosystem — Storage (ADLS Gen2), Identity (AAD), and Serverless (Azure Functions).
- Familiarity with modern AI coding assistants (GitHub Copilot, Cursor, OpenAI Codex) to accelerate development velocity.
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
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Hard Skills & Tools
data pipelinesDatabricksAzure Data Lake Storage Gen2Medallion ArchitectureLangChainLlamaIndexVector DatabasesAzure AppsAzure FunctionsPython