Lead Data Engineer

• Lead technical design, delivery, and implementation of data solutions within easyJet's IT estate.
• Manage and develop a team of Data Engineers and Analytics Engineers.
• Champion distributed data platforms and drive adoption of data products.
• Collaborate with cross-functional teams and stakeholders to deliver enterprise-level data solutions.
• Identify and champion new technologies and methods in data engineering.
• Ensure solutions meet technical standards and business requirements.
• Deputise for the Data Engineering technology manager as needed.
• Required skills include leadership, team management, technical expertise in cloud and big data, and strong communication.
• Desirable experience includes airline industry knowledge, AI solution adoption, and cloud-based OLAP.

This is a senior technical and leadership position, ideal for candidates with strong experience in cloud-based data engineering, team management, and a passion for innovation. The role offers significant responsibility, opportunities for professional growth, and a comprehensive benefits package within a leading European airline., * Effective team management (onshore and offshore).

• Support for agile delivery and project estimation.
• Clear communication with technical and non-technical audiences.
• Complex problem-solving and process-driven approach.
• Passion for technology and hands-on learning.

Technical Skills Required

• Strong understanding of data concepts, modelling, and warehousing.
• Experience with cloud-based, big data distributed systems.
• Proficiency in Python, software development, and release engineering (TDD, CI/CD).
• Experience with Apache Spark or similar frameworks.
• Strong SQL skills.
• Familiarity with cloud-based big data technologies (e.g., HDFS, Spark, Kafka, Delta, Hive).
• Experience with enterprise scheduling tools (e.g., Airflow).
• Linux and containerisation experience.
• Cloud computing (AWS, GCP, Azure).
• Understanding of data management, security, and privacy (e.g., GDPR).

Desirable

• Airline industry experience.
• Experience with AI solution adoption and regulatory/data privacy in data lakes.
• Cloud-based OLAP and infra-as-code (e.g., Terraform).
• Experience with modern lakehouse platforms (e.g., Databricks, Snowflake).
• Solution architecture background and data lake migrations

Familiarity with data science and analytics tooling (e.g., MLFlow, Tableau, Power BI)., If you are a self-starter who can identify opportunities to drive greater success for the team and have a track record of building strong relationships with internal stakeholders, we would love to hear from you. Apply now to join our dynamic team!

• Competitive base salary
• 20% bonus potential.
• 25 days holiday, pension scheme, life assurance, and a flexible benefits package.
• Discounted staff travel scheme for friends and family
• Annual credit for discount on easyJet holidays
• 'Work Away' scheme, allowing you to work abroad for 30 days a year
• Electric vehicle lease salary sacrifice scheme

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.