Hybrid Analytical Engineering Manager

Posted last month

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About the role

  • Lead, mentor, and inspire a high-performing team of analytics engineers.
  • Foster data craftsmanship by embedding standards, training, and structured career development.
  • Co-own end-to-end data delivery from ingestion through to the analytical layer.
  • Champion collaboration across data engineering, analytics, governance, and product teams.
  • Define and implement best practices in data modelling, naming conventions, documentation, and business logic.
  • Lead the creation of subject-area models and semantic layers that power reporting, AI, and personalisation.
  • Drive traceability, clarity, and trust in analytical data products — ensuring consistent use across the business.
  • Translate complex business concepts into elegant, reusable data assets.
  • Shape and deliver against the Data & Analytics roadmap, ensuring scalable analytical engineering practices.
  • Represent analytical engineering in cross-functional forums, advocating for consistency, lineage, and alignment.
  • Partner with data governance, data science, and BI teams to ensure analytical assets support both operational and strategic insight.
  • Influence platform decisions alongside technical peers, ensuring scalability and sustainability in design.

Requirements

  • Proven leadership in analytics or data engineering teams within a modern cloud-based data platform.
  • Strong foundation in data modelling principles, such as dimensional modelling and domain-driven design.
  • Experience developing and governing semantic or analytical layers for enterprise analytics.
  • Excellent communication and stakeholder management skills across business and technical teams.
  • A deep passion for simplicity, clarity, and maintainability in data design.
  • Proven ability to co-lead delivery and architecture with technical partners.
  • Exposure to data contracts, metadata management, or governance frameworks (desirable).
  • Experience supporting AI, machine learning, or personalisation use cases (desirable).
  • Understanding of Agile delivery in modern data teams (desirable).
  • Knowledge of how analytical engineering integrates into data product and self-service analytics strategies (desirable).

Benefits

  • Professional development opportunities
  • Flexible working hours

Job title

Analytical Engineering Manager

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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