At a Glance
- Tasks: Build data visualisations and pipelines to empower the business with actionable insights.
- Company: Join easyJet Holidays, a fast-growing tour operator with a passion for sustainable travel.
- Benefits: Enjoy competitive salary, flexible benefits, discounted flights, and generous annual leave.
- Other info: Hybrid working model with opportunities for mentorship and career growth.
- Why this job: Make a real impact by turning data into valuable insights for a leading travel company.
- Qualifications: Experience in data analysis, SQL, Python, and visualisation tools like Thoughtspot or Tableau.
The predicted salary is between 45000 - 55000 £ per year.
The Data Analytics Engineer role sits within the Technology Team at easyJet Holidays, reporting into the Senior Data Analytics Manager. This team works alongside Data Engineering and Data Science to build the analytical pipelines and visualisations that help the wider business make sense of its data. As new products roll out quickly, the team keeps analytical data available and fit for purpose.
In this role, you'll build visualisations and data pipelines that give people across the business access to the data they need. You'll also work closely with stakeholders, turning their goals into practical data products.
You will be responsible for:
- Building and maintaining Liveboards and AI Agents using Thoughtspot and Redshift, turning business requirements into clear, accurate visualisations
- Developing Python and SQL based data pipelines within the Dagster and AWS ecosystem, documenting and testing data models through dbt
- Contributing to the DataOps framework and tooling, improving patterns where you can
- Making sure governance and compliance across the data estate meets regulatory requirements
- Mentoring and coaching other Analytics Engineers, Data Engineers and Data Scientists, including supplier based team members
- Carrying out ad hoc analysis and model development as needed
- Working with stakeholders across the business to find new ways to use data, while helping the wider data community build their skills
What you'll bring to the team:
- A mix of experience across data analysis and data engineering, with a strong grasp of SQL and Python development including Git
- Experience with visualisation and analytics tools such as Thoughtspot, Tableau or Power BI
- Experience setting up and developing ETL/ELT tooling such as Dagster, AWS Glue, Azure Data Factory, Airflow or dbt
- Experience with AWS based data tooling, ideally with some exposure to GCP too
- A logical, methodical approach to problem solving, backed by a strong numerical and analytical background
- A track record of managing complex technical data teams across a variety of disciplines and objectives
- Comfort working with stakeholders to understand their goals and translate them into data products
- The ability to explain complex concepts simply and think laterally about the impact of change
- A high level of attention to detail and the confidence to deliver under pressure
- Comfort working with and influencing a wide range of people
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
- Free easyJet Plus membership
- Annual holiday vouchers
- 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 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.
Data Analytics Engineer employer: Easyjet
easyJet is an exceptional employer, offering a dynamic work environment where innovation and sustainability are at the forefront of our mission. As a Future Fuels Manager based in Luton, you'll benefit from a strong focus on employee growth, competitive bonuses, and excellent travel perks, all while contributing to our ambitious sustainability goals. Our collaborative culture encourages you to build meaningful relationships with industry leaders, ensuring your role is both impactful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Easyjet!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analytics Engineer at Easyjet.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Easyjet.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Analytics Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Easyjet, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Easyjet. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Easyjet
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Easyjet!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
