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For Companies At a Glance
- Tasks: Join our Data team to build a cutting-edge Operational Data Platform.
- Company: easyJet holidays, the UK's fastest-growing tour operator.
- Benefits: Competitive salary, up to 20% bonus, 25 days holiday, and travel perks.
- Why this job: Transform the travel industry with data and enhance your technical skills.
- Qualifications: Strong Python and SQL skills; experience with ETL/ELT pipelines.
- Other info: Hybrid working model with opportunities for career growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Hybrid – 3 days per week in our Luton office. easyJet holidays is the UK’s fastest‑growing tour operator, created to make brilliant holidays more affordable and more accessible. Since launching in 2019, we’ve already taken almost two million customers away on unforgettable breaks, expanded across Europe, doubled our team year‑on‑year, and been named a Sunday Times Best Place to Work and Best Workplace in Travel for both 2023 and 2024. We’re building something special — and data sits at the heart of it.
The Opportunity
We’re looking for a talented Data Engineer to join our growing Data team and help build our brand‑new Operational Data Platform. This platform underpins our applications, services, and decision‑making across the business. You’ll work alongside experienced senior engineers, gain exposure to modern data engineering practices, and help build high‑quality, scalable data products that power the holidays experience end‑to‑end. This is a fantastic opportunity for someone who wants to deepen their technical skills, work on meaningful data challenges, and be part of a team transforming the travel industry.
What You’ll Be Doing
- Contributing to the design and delivery of the new Operational Data Platform
- Building and maintaining ETL/ELT workflows
- Supporting data governance, compliance and platform standards
- Optimising data processes and pipeline performance
- Collaborating with product teams, engineers and developers across the organisation
- Supporting ad‑hoc analysis and development tasks where needed
What You’ll Bring
Essential skills- Strong Python and SQL abilities
- Experience building or maintaining ETL/ELT pipelines (e.g., dbt, Airflow, ADF, Glue, Dagster)
- Experience with cloud data platforms (AWS/Azure/GCP)
- Good understanding of data modelling principles
- Strong analytical and problem‑solving skills
- Ability to translate business needs into data solutions
- Real‑time/event‑driven data patterns
- Streaming tools (Kafka, Kinesis, EventBridge)
- OLTP‑style data systems
- API integrations
- Basic Node.js/TypeScript
Why Join Us?
- Competitive base salary
- Up to 20% bonus
- 25 days holiday
- BAYE, SAYE & performance share schemes
- 7% pension
- Life assurance
- Flexible benefits
- Brilliant staff travel perks
Location & Hybrid Working
This is a full‑time role based in Luton, working 40 hours per week with hybrid working — 3 days a week in our Luton office. Occasional travel may be required.
Data Engineer in Luton employer: easyJet holidays
Contact Detail:
easyJet holidays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Luton
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at easyJet holidays. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving Python and SQL. Let them see how you tackle data challenges and how you can contribute to their Operational Data Platform.
✨Tailor Your Approach
Do your homework on easyJet holidays and the role of a Data Engineer. When you’re in interviews or networking, mention specific ways you can help build their data products. Show them you’re not just another candidate; you’re the right fit!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Data Engineer in Luton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your Python and SQL skills, and any experience with ETL/ELT pipelines. We want to see how your background aligns with what we're building at easyJet holidays!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our new Operational Data Platform. Let us know why you're excited about transforming the travel industry with us.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with cloud data platforms or any streaming tools. We love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at easyJet holidays
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are essential for the Data Engineer role. Brush up on your experience with ETL/ELT tools like dbt or Airflow, and be ready to discuss how you've used them in past projects.
✨Understand the Business
Familiarise yourself with easyJet holidays and their mission. Knowing how data impacts their operations and customer experience will help you articulate how you can contribute to their new Operational Data Platform.
✨Prepare for Problem-Solving Questions
Expect questions that test your analytical skills and problem-solving abilities. Think of specific examples where you’ve tackled data challenges and be ready to explain your thought process and the outcomes.
✨Show Your Collaborative Spirit
This role involves working closely with product teams and other engineers. Be prepared to discuss your experience in collaborative environments and how you’ve successfully worked with cross-functional teams to deliver data solutions.