Lead Data Engineer
Role details
Job location
Tech stack
Job description
You'll join a dynamic Data Engineering function at the heart of easyJet's ambition to become a truly data-driven airline. Working closely with Data Science, Analytics, Architecture and wider IT teams, you'll help shape and deliver enterprise data capabilities that power decision-making across the business. THE ROLE As Lead Data Engineer, you will combine deep technical expertise with inspiring leadership to design, build and scale production-grade data solutions across easyJet's IT estate. Lead the design, delivery and implementation of robust, scalable data solutions across a wide range of business use cases Champion the evolution and adoption of our distributed data platform and data products Manage and develop a team of Data Engineers and Analytics Engineers, supporting their growth and ensuring high-quality delivery Collaborate with cross-functional teams to deliver enterprise-level data initiatives Partner with Data Science and Analytics teams to unlock new opportunities and deliver end-to-end data products Ensure solutions meet functional and non-functional requirements and align with wider IT standards Drive continuous improvement through automation, optimisation and enhanced ways of working Stay at the forefront of emerging technologies and bring innovation into the organisation Provide technical leadership, manage technical debt and shape implementation and QA approaches Act as a deputy for the Data Engineering Technology Manager when required, This full-time role will be based in Luton and will be 40 hours per week. We support hybrid working and we spend 60% of our time per month in the office
Requirements
Proven leadership experience, with the ability to inspire and develop technical teams Strong experience designing and building cloud-based, distributed data platforms Advanced Python and SQL skills, with experience in modern engineering practices such as CI/CD and TDD Experience with big data frameworks such as Apache Spark or similar technologies Solid understanding of data modelling, data warehousing, OLTP and data lake architectures Experience working with cloud ecosystems such as AWS, Azure or GCP Familiarity with tools such as Kafka, Airflow, Hive, Delta, or similar technologies Strong understanding of software engineering principles and production support Experience with Linux, containerisation and enterprise scheduling tools Knowledge of data governance, security and data privacy principles including GDPR Confident communicator, able to present complex technical concepts to varied audiences A proactive, self-directed mindset with strong problem-solving skills
Desirable: Experience within the airline or travel industry Exposure to AI/ML solutions and productionisation Experience with Databricks, Snowflake or modern lakehouse platforms Infrastructure-as-code and serverless pipeline experience Data lake migration and solution architecture experience
Benefits & conditions
Pulled from the full job description
- Annual leave
- Company pension
- Private medical insurance