Senior Data Analytics Engineer(16787)
Description
Senior Data Analytics Engineer
Luton/Hybrid
We are easyJet – a FTSE-250 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you’re reading this, you have probably already been an easyJet customer, and you’ll know that there is no more iconic (or Orange!) travel brand in Europe.
We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues. We’re on a mission to make low-cost travel easy – and whatever your role here, you’ll connect millions of people to what they love using Europe’s best airline network, great value fares, and friendly service.
What makes us easyJet? Our Promise Behaviours – we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet.
JOB PURPOSE
The Senior Analytics Engineer leads the development and optimisation of our advanced analytics ecosystem, ensuring that data is not only fit for purpose but also robustly designed for scalability, reusability, and actionable insights. This role bridges technical expertise and strategic vision to deliver enterprise-grade data solutions, supporting high-impact business use cases across multiple domains.
JOB ACCOUNTABILITIES
To shape and manage future direction of easyJet’s Data Engineering practice, focused on defining, designing and deploying critical analytical pipelines supporting high-quality and reuseable data assets:
·Define and drive the future direction of data engineering and analytics practices, ensuring alignment with business goals and technological advancements.
·Design and implement sophisticated data pipelines and transformations, delivering curated, high-quality datasets for advanced analytics, reporting, and AI/ML applications.
·Act as a technical leader and mentor to Analytics Engineers, BI Analysts, and Data Scientists, ensuring cohesive methodologies and enhancing organisational data literacy across the business domains.
·Serve as a senior technical Data Steward, championing best practices in data governance, discoverability, and usage, while ensuring end-to-end documentation and observability of analytical pipelines.
·Leads collaboration with BI Analysts and Data Scientists to refine methodologies, enhance reporting, and deliver scalable, production-ready feature engineering code.
Business Area
Information Technology (IT)
Primary Location
United Kingdom-London-London Luton Airport
Organisation
Information Technology (IT)
Schedule
Full-time
Unposting Date
Ongoing