Lead Data Analytics Engineer

Salary: £47,000 - 87,000 per year

Requirements:

• Strong hands-on Analytics Engineering/Data Engineering experience with deep expertise in data modelling, Snowflake, dbt and SQL.
• Proven experience building automation, reusable engineering frameworks and scalable analytical architectures.
• Strong technical leadership experience, including influencing multiple teams, solving complex engineering challenges and mentoring senior engineers.
• Experience applying GenAI, LLMs, AI agents or Snowflake Cortex to engineering automation.
• We are looking for a hands-on, outcome-driven engineering leader who leads from the front by designing, building and delivering solutions.
• This role requires an individual contributor mindset, with someone who is equally comfortable defining strategy and implementing it through working code, prototypes and production-ready solutions.
• Python and modern data observability/lineage experience is nice to have.
• Experience enabling self-service engineering across distributed analytics teams is nice to have.

Responsibilities:

• Lead our enterprise approach to analytical data modelling, including domain models, dimensional models and semantic layers.
• Establish reusable modelling patterns and common business entities that create consistency across our Data Products.
• Reduce duplication and improve the performance, scalability and maintainability of our analytical models.
• Provide technical leadership for complex and cross-domain modelling challenges.
• Lead our Analytics Automation agenda, transforming how analytics is developed, tested, deployed, documented and monitored.
• Apply Snowflake Cortex, LLMs, intelligent agents and automation to improve our engineering productivity and quality.
• Build reusable automation capabilities and accelerators rather than one-off solutions.
• Identify and industrialise emerging technologies that materially improve Analytics Engineering.
• Create frameworks, tools, templates and reusable components that enable squads to deliver independently and faster.
• Improve developer experience and simplify the journey from development to production.
• Remove recurring technical bottlenecks through self-service and reusable engineering capabilities.
• Enable domain teams to build trusted Data Products within established engineering standards.
• Act as a senior technical authority for Analytics Engineering, providing direction on complex solutions and technical decisions.
• Drive engineering standards, modernisation, platform performance and reduction of technical debt.
• Mentor engineers and raise technical capability through communities of practice and knowledge sharing.
• Partner with the Head of Analytics Engineering to shape the technical roadmap and future engineering capability.

Technologies:

• AI
• AI Agents
• Python
• SQL
• Snowflake
• dbt
• CI/CD
• Git
• Support
• Network

More:

We are Collinson, a global privately owned company dedicated to helping the world travel with ease and confidence. We offer market-leading airport experiences, loyalty and customer engagement, and insurance solutions for over 400 million consumers. We operate Priority Pass, the worlds original and leading airport experiences programme, giving travellers access to over 1,500 lounges and travel experiences in more than 650 airports across 148 countries. We work with leading global payment networks, banks, airlines and hotel groups, and we have a strong history of innovation across travel and insurance. Our mission is focused on doing good beyond profit, and we invest in our people and the communities where we work. Our team includes over 1,800 global colleagues, and we value taking action, doing the right thing, one team and being insight led. We are an equal opportunity employer and welcome differences in all their forms.

last updated 37 week of 2026