AI Data Engineer
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Role details
Tech stack
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Requirements
o Proven experience as an Azure Data Engineer in end-to-end data platforms o Exposure to AI/GenAI data pipelines (eg RAG, embeddings, search) o Knowledge of Azure AI Search or vector-based retrieval systems o Strong hands-on experience with: ? Azure Data Factory/Synapse/Microsoft Fabric ? Azure Data Lake Storage (ADLS Gen2) ? Azure Cosmos DB (Core/SQL API, NoSQL modelling) o Experience working extensively with unstructured and semi-structured data o Proficiency in Python and SQL o Demonstrated experience in: ? Data discovery, profiling, and exploratory analysis ? Data transformation and data quality frameworks o Strong understanding of: ? NoSQL vs relational data modelling ? Data partitioning and performance tuning o Experience building scalable, production-grade data pipelines o Familiarity with CI/CD and DevOps practices in Azure
Desirable: o Azure Data Engineering Associate certification (DP-203) or equivalent o Experience with Microsoft Fabric and Lakehouse architectures o Experience integrating Cosmos DB with analytical platforms o Familiarity with data governance frameworks
About the company
LA International is an award-winning partner of choice for many of the world’s most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.
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