Lead Data Engineer in London

Lead Data Engineer in London

London Full-Time 81000 - 99000 £ / year (est.) Home office (partial)
Easyjet

At a Glance

  • Tasks: Lead the design and delivery of innovative cloud-based data solutions.
  • Company: Join easyJet, a leading low-cost airline with a vibrant culture.
  • Benefits: Enjoy competitive pay, private medical insurance, and fantastic travel perks.
  • Other info: Hybrid working model with a focus on inclusivity and career growth.
  • Why this job: Shape the future of data in a dynamic, fast-paced environment.
  • Qualifications: Proven leadership in data engineering and strong technical skills required.

The predicted salary is between 81000 - 99000 £ per year.

We are easyJet – a FTSE listed, multi-billion low-cost airline that serves tens of millions of customers every single year. 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

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

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.

Lead Data Engineer in London 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.

Easyjet

Contact Details:

Easyjet Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer in London

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 Lead Data 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

When you find a suitable opening like Lead Data Engineer at Easyjet, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Data Engineer in London

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

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.