AI-Driven Data Automation Engineer; Hybrid

Responsibilities

• Design, build, and automate end‑to‑end data pipelines in Azure, ensuring secure, reliable, and efficient ingestion, transformation, delivery, and documentation.
• Continuously optimise pipelines and integrations, improving speed, scalability, and reliability, including the use of AI‑driven automation.
• Deliver high‑quality datasets and data models (DWH, Lakehouse) that power analytics, reporting, and AI use cases.
• Monitor, troubleshoot, and enhance daily data operations, resolving issues quickly and proactively strengthening resilience.
• Improve performance and observability, optimising data flows and enhancing monitoring, alerting, and automated preventative rules.
• Support data governance and compliance, ensuring data quality, lineage, archiving, masking, encryption, and automated controls.
• Contribute to platform‑level enhancements, improving CI/CD, orchestration, scheduling, and monitoring for scalable, AI‑ready foundations.
• Advance the MBUK data strategy, exploring new technologies and automation opportunities.

• Designs and delivers cloud‑native or on‑prem data solutions.
• Leads and coordinates AI/ML initiatives, including identifying LLM use cases and integrating them into business and data workflows.
• Advanced SQL and Python skills, writing highly optimised queries across large datasets to create AI‑ready data.
• Collaborative team player and confident independent contributor.
• Proactive, taking ownership to deliver practical solutions.
• Strong knowledge of technical ecosystems, including data integration patterns and system architecture fundamentals.
• Clear, confident communicator across all audiences.
• Analytical, accurate, and skilled in solving complex problems.
• Hands‑on experience with data integration and transformation tools (e.g., Azure Data Factory, Databricks).
• Transforms complex analysis into clear, actionable insights.
• Experienced in Agile ways of working (Scrum, Kanban, Lean).

Competitive salary, discretionary bonus structure, pension scheme, flexible benefit pot, hybrid working approach, access to colleague wellbeing resources, and training opportunities.