Note: The job is a remote job and is open to candidates in USA. CSA Group is a company that has been providing resilient facility and infrastructure solutions for over 65 years. They are seeking a Junior Data Engineer to design and implement data models and support data architectures, ensuring integration and accuracy of data for AI applications.

Responsibilities

• Design and implement data models, schemas, and structures optimized for AI/LLM consumption
• Design and maintain data models, schemas, and pipelines (ETL/ELT) for structured and unstructured data
• Develop and support data architectures within the Microsoft ecosystem (e.g., Fabric, Azure)
• Build and manage AI-ready datasets and context layers to support AI agents, Copilot solutions, and LLM workflows
• Integrate data sources with APIs and AI frameworks, ensuring data accuracy, relevance, and performance
• Collaborate with business stakeholders/SMEs to translate requirements into data models and AI-ready structures

Skills

• Bachelor's degree in Computer Science or related field
• 1–3 years of experience in a data-focused role or equivalent project portfolio
• Experience cleaning, transforming, and structuring datasets (Excel, CSV, JSON, SharePoint, etc.)
• Basic knowledge of data pipelines (ETL/ELT)
• Working knowledge of Microsoft data tools (SharePoint, Power BI, Microsoft Fabric)
• Exposure to unstructured data (documents, PDFs, emails, etc.)
• Basic understanding of AI/LLM concepts (prompting, context design, RAG)
• Experience with APIs and data integrations
• Familiarity with data modeling concepts (e.g., star schema, normalization)
• Experience supporting Power BI reporting environments
• Understanding of data governance and data quality practices
• Curiosity and interest in continuous learning in AI and comfort experimenting and iterating quickly; uses data to validate ideas and measure impact
• Commitment to ethical and responsible AI adoption, including privacy-by-design and safe use of tools

Company Overview

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