Data Engineer

Data Engineer

Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Join our Data team to build a cutting-edge Operational Data Platform.
  • Company: Be part of easyJet holidays, the UK's fastest growing tour operator.
  • Benefits: Enjoy competitive salary, flexible benefits, and discounted flights for you and loved ones.
  • Other info: Hybrid working model with excellent career growth opportunities.
  • Why this job: Make a real impact on holiday experiences while working with top industry professionals.
  • Qualifications: Strong Python and SQL skills; experience with ETL/ELT pipelines and cloud platforms.

The predicted salary is between 63000 - 77000 £ per year.

We're building a brand-new Operational Data Platform at easyJet holidays that underpins our applications, services and decision making across the business. This role sits within our growing Data team and plays a direct part in bringing that platform to life. You’ll work alongside experienced senior engineers, contribute to meaningful data challenges, and help build scalable data products that power the end-to-end holidays experience.

Day to day, you'll be responsible for:

  • Contributing to the design and delivery of the new Operational Data Platform
  • Building and maintaining ETL/ELT workflows
  • Optimising data processes and pipeline performance
  • Supporting data governance, compliance and platform standards
  • Collaborating with product teams, engineers and developers across the business
  • Supporting ad-hoc analysis and development tasks as needed

What you bring to the team:

  • Strong Python and SQL skills
  • Experience building or maintaining ETL/ELT pipelines — dbt, Airflow, Dagster, AWS Glue or similar
  • Experience working with cloud data platforms (AWS, Azure or GCP)
  • A solid understanding of data modelling principles
  • The ability to translate business needs into practical data solutions

What’s in it for you:

In addition to your competitive base salary, we offer an all-inclusive benefits package which includes our company-wide bonus scheme, 7% pension contribution, and private medical insurance. We offer a variety of share options and life assurance, and we have an impressive range of flexible benefits that you can tailor to your needs. You’ll have access to heavily discounted flights for yourself and your loved ones, annual holiday vouchers, and a generous annual leave entitlement. The role is full-time and based at our easyJet holidays HQ near Luton Airport. We operate a hybrid working model of 3 days per week in the office.

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. We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.

Data Engineer employer: easyJet Airline Company PLC

At easyJet, we pride ourselves on being a leading low-cost airline that not only connects millions of customers across Europe but also fosters a vibrant and inclusive work culture. As a Lead Data Scientist in Optimisation Engineering, you will have the opportunity to lead a dynamic team, drive innovative solutions, and contribute to meaningful projects that enhance our operational efficiency. With a strong focus on employee growth, collaboration, and a commitment to safety and excellence, easyJet offers a rewarding environment where your contributions truly matter.

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Contact Details:

easyJet Airline Company PLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer

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We think you need these skills to ace Data Engineer

Python
SQL
Communication Skills
Data Engineering
API Integration
Problem-Solving Skills
Data Pipeline Development

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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