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easyJet

Lead Data Engineer

Luton
Posted about 22 hours ago
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About Us

We are easyJet – a FTSE 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.

READ ON IF YOU

  • Have strong experience designing and delivering cloud-based data solutions at scale
  • Enjoy leading and developing high-performing data engineering teams
  • Thrive in a fast-paced, collaborative environment and enjoy solving complex technical challenges
  • Are passionate about modern data platforms, big data technologies and continuous innovation
  • Can be in our fantastic Luton head office 3 x per week

THE TEAM

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

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£35,000/yr

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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What We’re Looking For

  • 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

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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

What You’ll Get In Return

  • Up to 20% maximum bonus
  • Private Medical Insurance
  • 7% pension contributions
  • Excellent staff travel benefits
  • 25 days of annual leave + bank holidays
  • Annual credit towards an easyJet holiday
  • Various flexible benefits and extras

PRACTICALITIES

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

REASONABLE ADJUSTMENTS

At easyJet, we are dedicated to fostering an inclusive workplace that reflects the diverse customers we serve across Europe. We welcome candidates from all backgrounds. If you require specific adjustments or support during the application or recruitment process, such as extra time for assessments or accessible interview locations, please contact us at ma.recruitment@easyjet.com. We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation

Business Area

Information Technology (IT)

Primary Location

United Kingdom-London-London Luton Airport

Organisation

Information Technology (IT)

Schedule

Full-time

Unposting Date

Ongoing

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Skills

Cloud-Based Data Solutions
Data Engineering
Python
SQL
CI/CD
TDD
Apache Spark
Data Modelling
Data Warehousing
Data Lake Architectures
AWS
Azure
GCP
Data Governance
Data Privacy
Problem-Solving

Location

Luton, England, United Kingdom

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