We are seeking an Analytical Engineering Manager to lead the next stage of our analytical data evolution ensuring that Collinsons data models, definitions, and analytical layer are scalable, trusted, and business-aligned.

Working closely alongside the Principal Data Engineer, and data engineering manager you will bridge technical foundations and business needs: defining how data is shaped, documented, and served for analytics, AI, and product insight.

Youll lead a team of analytics engineers focused on modelling excellence, semantic consistency, and governed reuse, ensuring that every analytical dataset reflects a shared understanding of the business.

This role requires a balance of technical credibility, delivery discipline, and coaching mindset shaping how data is modelled and used across Collinson.

Key Responsibilities :

Leadership & People Management :

- Lead, mentor, and develop an analytical engineering team focused on modelling standards, quality, and reusability.

- Partner with the Principal Data Engineer to co-own end-to-end data delivery from foundational pipelines through to analytical data layers.

- Shape career growth, training, and performance pathways that develop deep data craftsmanship within the team.

- Foster a culture of collaboration between data engineering, governance, and analytics aligning priorities through shared objectives.

- Define and embed best practices in data modelling, including standards for naming, documentation, and business logic representation.

- Lead the design of subject-area models and data contracts that form the foundation for reporting, AI, and personalization.

- Champion the evolution toward a semantic and governed analytical layer, ensuring traceability from raw data to business outcomes.

- Partner with Product, Analytics, and Technology teams to translate business concepts into consistent, reusable data assets.

- Maintain high standards of quality and simplicity in data design prioritizing clarity, trust, and performance over complexity.

- Work hand-in-hand with the Principal Data Engineer to align platform evolution, modelling standards, and delivery governance.

- Contribute to the Data & Analytics strategy and roadmap, ensuring analytical engineering practices scale with Collinsons data ambitions.

- Represent analytical engineering in cross-functional forums, advocating for trusted data, lineage, and definition alignment.

- Partner with Governance, Data Science, and BI teams to ensure analytical models meet the needs of both operational and strategic insight.

Modelling & Analytical Design :

Strategic Influence & Collaboration :

Knowledge, skills and experience required :

Essential :

- Proven experience leading data or analytics engineering teams within a modern cloud data platform.

- Deep understanding of data modelling principles, including dimensional and domain-driven design.

- Experience shaping and governing semantic or analytical layers that underpin enterprise analytics.

- Strong partnership skills particularly in co-leading design and delivery alongside technical peers (e., Principal Data Engineer).

- Excellent communication and stakeholder management across business, data, and technology teams.

- A passion for quality, maintainability, and clarity in analytical data design.