Data Analytics Engineer

Data Analytics Engineer

City of London Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform data into actionable insights and build robust analytical dashboards.
  • Company: Join easyJet holidays, a leading name in affordable travel experiences.
  • Benefits: Enjoy competitive salary, flexible benefits, discounted flights, and generous leave.
  • Why this job: Make a real impact by embedding data into every aspect of our operations.
  • Qualifications: Strong SQL and Python skills, with experience in data analysis and engineering.
  • Other info: Hybrid working model with opportunities for personal and professional growth.

The predicted salary is between 36000 - 60000 £ per year.

Overview

As our Data Analytics Engineer at easyJet holidays, you’ll play a key role in making data accessible, reliable, and valuable across the business. Reporting to the Senior Data Analytics Manager, you’ll work alongside data engineers and data scientists to build robust pipelines, develop high quality visualisations, and support teams across the organisation in making informed decisions. You’ll take ownership of building and maintaining analytical dashboards and AI tools using ThoughtSpot and Redshift, turning business needs into clear, accurate, and actionable insights. You’ll also design and refine data pipelines within our Python/Dagster ecosystem, ensuring everything is well documented, tested, and built to scale. Your work will underpin the way we understand performance, identify opportunities, and improve customer and commercial outcomes.

The role includes contributing to our DataOps tooling, improving governance, and maintaining compliance across our data estate. You’ll also support and coach others, including supplier based resource, helping to strengthen the data capability across the wider team. This is a hands on role with impact across the whole organisation, supporting our ambition to embed data into every part of how we operate.

What you’ll bring to the team

We’re looking for somebody with a blend of experience across data analysis and data engineering, with strong SQL skills and hands on experience in Python development, including version control with Git. You’ll be comfortable building and maintaining data pipelines using modern ETL/ELT tools such as Dagster, dbt, AWS Glue or similar, and ideally have experience working within cloud environments like AWS or GCP.

You’ll have worked with business intelligence tools like ThoughtSpot, Tableau or Power BI, and understand how to translate complex requirements into clear, effective visualisations. You have a logical and methodical approach to solving problems, with a strong analytical background and high attention to detail.

You’re confident working with stakeholders to shape requirements, prioritise effectively, and deliver solutions that meet business needs. You’re comfortable managing competing demands in a fast paced environment, and you’re able to explain technical concepts clearly. You’re also experienced in guiding technical teams, sharing knowledge, and supporting others to build capability across a range of disciplines.

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, as well as free easyJet Plus membership, annual holiday vouchers, and a generous annual leave entitlement.

At easyJet holidays, we create unforgettable experiences for our customers, we strive to do the same for our people. As such we\\\’re committed to supporting our team with development opportunities and a welcoming atmosphere.

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.

How to apply

Please click on the apply button to complete your application. Occasionally we receive a large volume of applications for our roles and when that happens, we sometimes bring the closing date forward – so please apply promptly to avoid disappointment.

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

About easyJet holidays

Ready to make your next move? How about make your mark? Join a team with unstoppable drive and passion at easyJet holidays.

In 2019 we launched our easyJet holidays business, with a mission to provide brilliant holidays at unbeatable prices. We want to lead the industry by making sustainable travel affordable and accessible to everyone – and to do this we’re building remarkable teams with modern ways of working.

By joining us you’ll be part of the UK’s fastest growing tour operator and a company named as one of the Best Workplaces in Travel. You’ll be given autonomy to do your job, a platform to share your ideas, and you’ll get to work with the very best people in the industry – all to create experiences that customers will remember forever.

Make a difference with your next role. Make it easyJet holidays.

#LI-MR1 #LI-HYBRID #ejholidays

Business Area

Technology – easyJet holidays

Primary Location

#J-18808-Ljbffr

Data Analytics Engineer employer: easyJet Airline Company PLC

At easyJet holidays, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored development opportunities and a supportive environment, all while enjoying the unique benefits of discounted travel and a flexible working model near Luton Airport. Join us in shaping unforgettable experiences for our customers and making a meaningful impact across the organisation.
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Contact Detail:

easyJet Airline Company PLC Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analytics Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at easyJet holidays. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data visualisations and projects. This is your chance to demonstrate how you turn complex data into actionable insights, just like we do at easyJet holidays.

✨Tip Number 3

Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you’ve built data pipelines or used BI tools like ThoughtSpot. We love candidates who can share real-world examples!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the easyJet holidays team. Let’s make it happen!

We think you need these skills to ace Data Analytics Engineer

Data Analysis
Data Engineering
SQL
Python Development
Version Control (Git)
ETL/ELT Tools (Dagster, dbt, AWS Glue)
Cloud Environments (AWS, GCP)
Business Intelligence Tools (ThoughtSpot, Tableau, Power BI)
Data Visualisation
Analytical Skills
Attention to Detail
Stakeholder Management
Problem-Solving Skills
Technical Communication
Coaching and Mentoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analytics Engineer role. Highlight your SQL and Python expertise, and any experience with ETL tools like Dagster or AWS. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your background aligns with our mission at easyJet holidays. Keep it engaging and personal – we love to see your personality come through!

Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any dashboards you've built. This gives us a glimpse into your hands-on experience and problem-solving skills, which are super important for this role.

Apply Early!: We sometimes close applications early due to high volumes, so don’t wait around! Head over to our website and submit your application as soon as you can. We’re excited to see what you bring to the table!

How to prepare for a job interview at easyJet Airline Company PLC

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL and Python. Brush up on your experience with ETL/ELT tools like Dagster and AWS Glue, as well as business intelligence tools like ThoughtSpot. Being able to discuss specific projects where you've used these tools will show your hands-on experience.

✨Prepare for Scenario Questions

Expect questions that ask you to solve real-world problems or scenarios related to data analytics. Think about how you would approach building a data pipeline or creating a dashboard. Practising these scenarios can help you articulate your thought process clearly during the interview.

✨Showcase Your Communication Skills

Since the role involves working with stakeholders, be ready to demonstrate how you can explain complex technical concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical teams in the past, as this will highlight your ability to bridge the gap between tech and business needs.

✨Emphasise Team Collaboration

This position requires coaching and supporting others, so be prepared to discuss your experience in mentoring or collaborating with teams. Share specific examples of how you've contributed to team success and helped others build their skills, as this will align with the company’s focus on strengthening data capability across the organisation.

Data Analytics Engineer
easyJet Airline Company PLC
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