Europe's low-cost airline optimizing operations through data and automation
easyJet operates one of Europe's largest airline networks from a data and automation angle. Their tech stack—Python, Databricks, Spark, Snowflake, BigQuery, Redshift, plus optimization tools like Gurobi and CPLEX—reveals heavy investment in crew planning, disruption recovery, and dynamic pricing. Current hiring leans engineering-heavy (37 of 102 roles) with active projects around crew scheduling, disruption management, and enterprise transformation, signaling a shift from manual ops toward algorithmic and real-time decision-making.
Notable leadership hires: Tech Lead, PMO Lead, ERP Programme Director, Head of Technology
easyJet is a public airline operating low-cost flights across Europe, based at London Luton Airport. Beyond scheduled flights, the company offers hotel accommodation, car hire, and holiday packages to leisure and business travelers. The organization operates with 10,000+ employees spread across UK and Netherlands operations. Active transformation efforts center on operational resilience—crew planning automation, disruption recovery systems, and integrated reporting—supported by modern data infrastructure (Databricks, Snowflake, BigQuery) and optimization solvers (Gurobi, CPLEX). Leadership is also modernizing financial systems via Oracle Fusion and expanding capabilities in predictive and prescriptive analytics.
Core stack: Python, Databricks, Apache Spark, Snowflake, BigQuery, Redshift, SQL Server. Optimization: Gurobi, IBM ILOG CPLEX. Analytics: Tableau, ThoughtSpot, mParticle, Braze. Enterprise: Workday, Azure DevOps, GitHub Actions, Jira, Confluence. Adopting Oracle Fusion Financials.
Crew planning automation, disruption management and recovery, enterprise-wide transformation, EBIT reporting by base/country, automated reporting and modelling, integrated control systems, hangar expansion at London Luton, and optimization of mParticle and Braze CDP platforms.
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