Lead AI & Data Engineer

MBN Solutions; Glasgow; On-site; GBP 60,000 - 90,000; Full time

Job summary

Une entreprise innovante recherche un ingénieur AI et données pour diriger la transformation axée sur les données. Le candidat sera chargé de construire des solutions AI de production, d'établir des architectures de données efficaces et d'enseigner les meilleures pratiques en ingénierie de données. Cette opportunité offre un environnement de travail flexible et orienté vers la collaboration.

Benefits

Travail flexible

Culture collaborative

Chemins de croissance

Qualifications

• Expertise approfondie en ingénierie des données et pipelines.
• Expérience pratique avec Microsoft Azure.
• Capacité à déployer des modèles d'apprentissage machine.

Responsibilities

• Concevoir et livrer des architectures de données évolutives.
• Développer des produits AI alignés sur les résultats commerciaux.
• Diriger les pratiques d'ingénierie automatique.

Skills

Data engineering

Data pipelines

Semantic models

Python

SQL

YAML

CI/CD

Infrastructure-as-code

DataOps

MLOps

Tools

Microsoft Azure

Data Factory

Synapse

Databricks

Terraform

Bicep

Job description

Social network you want to login/join with:

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.