Job - Lead AI & Data Engineer | MBN
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Lead AI & Data Engineer

  • Data Engineering
  • Permanent
  • £52000 - £68000
  • #47866
  • About the role

    Lead AI and Data Engineer (Edinburgh)


    Our Client is looking for a technical and strategic AI and Data Engineer to take ownership of AI and data engineering practices. You’ll play a central role in shaping modern data platforms, building production-grade AI solutions, and embedding best practices in data and AI engineering.

    Key Responsibilities:

    • Lead the design and delivery of scalable data architectures and pipelines to meet analytics and AI needs.
    • Develop and maintain AI and data products aligned to business outcomes.
    • Champion automation-first engineering practices across ingestion, transformation, and deployment.
    • Design and deploy generative and predictive AI solutions using Azure and open-source frameworks.
    • Implement modern DataOps and MLOps practices, including CI/CD pipelines and monitoring.
    • Establish and maintain reusable enterprise data models and semantic layers for self-service analytics.
    • Mentor and develop a high-performing engineering team.
    • Collaborate with stakeholders to embed insight and AI in product delivery and business decision-making.

    About You:

    • Deep expertise in data engineering, data pipelines, and semantic models.
    • Hands-on experience building data platforms on Microsoft Azure (Data Factory, Synapse, Databricks, Purview).
    • Skilled in deploying machine learning models and generative AI applications in production.
    • Strong programming skills in Python, SQL, YAML.
    • Experience with CI/CD and infrastructure-as-code (e.g., Terraform/Bicep).
    • Proven leadership in embedding modern engineering practices (DataOps, MLOps) within teams.
    • Comfortable working in Agile development and structured deployment environments.
    • Desirable experience with Azure OpenAI, LangChain, and graph/vector databases.

    What’s on offer:

    • Opportunity to lead the engineering backbone of a data-driven transformation.
    • Work with forward-thinking teams in a culture of innovation and continuous learning.
    • Flexible working, collaborative culture, and pathways for growth.

    Apply here for more information and a full job spec.