Collinson Group
4 days ago
Description :
Key Responsibilities :
- 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.
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.g., 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.
Desirable :
- Exposure to data contracts, metadata management, or data governance frameworks.
- Awareness of analytics enablement in AI-driven or personalization contexts.
- Experience working with agile data teams balancing short-term delivery with long-term architecture.
- Understanding of how analytical engineering integrates into data product, ML, and self-service strategies
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