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Lead ai & data engineer

Glasgow (Glasgow City)
MBN Solutions
Data engineer
Posted: 5 July
Offer description

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:

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

About You:

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

What’s on offer:

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

Apply here for more information and a full job spec.

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