Lead Data Engineer in Luton

Lead Data Engineer in Luton

Luton Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
easyJet Airline Company PLC

At a Glance

  • Tasks: Lead the design and implementation of innovative data solutions for a leading airline.
  • Company: Join easyJet, a top European airline with a focus on innovation and teamwork.
  • Benefits: Enjoy competitive salary, 25 days holiday, and discounted travel for friends and family.
  • Other info: Hybrid working policy and commitment to inclusivity in the workplace.
  • Why this job: Make a real impact in data engineering while working with cutting-edge technologies.
  • Qualifications: Strong leadership skills and experience in cloud-based data engineering required.

The predicted salary is between 60000 - 80000 £ per year.

  • Lead Data Engineer (16877)
  • Job Purpose

This is a senior technical and leadership position, ideal for candidates with strong experience in cloud-based data engineering, team management, and a passion for innovation.

The role offers significant responsibility, opportunities for professional growth, and a comprehensive benefits package within a leading European airline.

  • Job Accountabilities
  • Lead technical design, delivery, and implementation of data solutions within easy Jet’s IT estate.
  • Manage and develop a team of Data Engineers and Analytics Engineers.
  • Champion distributed data platforms and drive adoption of data products.
  • Collaborate with cross-functional teams and stakeholders to deliver enterprise-level data solutions.
  • Identify and champion new technologies and methods in data engineering.
  • Ensure solutions meet technical standards and business requirements.
  • Deputise for the Data Engineering technology manager as needed.
  • Required skills include leadership, team management, technical expertise in cloud and big data, and strong communication.
  • Desirable experience includes airline industry knowledge, AI solution adoption, and cloud-based OLAP.
  • Key Skills & Behaviours
  • Effective team management (onshore and offshore).
  • Support for agile delivery and project estimation.
  • Clear communication with technical and non-technical audiences.
  • Complex problem-solving and process-driven approach.
  • Passion for technology and hands‑on learning.
  • Technical Skills Required
  • Strong understanding of data concepts, modelling, and warehousing.
  • Experience with cloud-based, big data distributed systems.
  • Proficiency in Python, software development, and release engineering (TDD, CI/CD).
  • Experience with Apache Spark or similar frameworks.
  • Familiarity with cloud-based big data technologies (e. g., HDFS, Spark, Kafka, Delta, Hive).
  • Experience with enterprise scheduling tools (e. g., Airflow).
  • Linux and containerisation experience.
  • Understanding of data management, security, and privacy (e. g., GDPR).
  • Airline industry experience.
  • Experience with AI solution adoption and regulatory/data privacy in data lakes.
  • Cloud-based OLAP and infra‑as‑code (e. g., Terraform).
  • Experience with modern lakehouse platforms (e. g., Databricks, Snowflake).
  • Solution architecture background and data lake migrations.
  • Familiarity with data science and analytics tooling (e. g., MLFlow, Tableau, Power BI).
  • Location & Hours of Work

We operate a hybrid working policy of 40–60% of the month spent with colleagues.

Benefits

We offer

  • Competitive base salary
  • 25 days holiday, pension scheme, life assurance, and a flexible benefits package.
  • Discounted staff travel scheme for friends and family
  • Annual credit for discount on easy Jet holidays
  • ‘Work Away’ scheme, allowing you to work abroad for 30 days a year
  • Electric vehicle lease salary sacrifice scheme
  • Reasonable Adjustments

At easy Jet, 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.

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Lead Data Engineer in Luton employer: easyJet Airline Company PLC

easyJet Airline Company PLC is an excellent employer that prioritises employee engagement and inclusivity, making it a fantastic place for those passionate about people insights. Located in Luton, the company offers a vibrant work culture with opportunities for professional growth, competitive benefits such as performance bonuses and health insurance, and unique travel perks that enhance the overall employee experience.

easyJet Airline Company PLC

Contact Details:

easyJet Airline Company PLC Recruitment Team

StudySmarter Expert Advice🤫

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

Get Involved in Data Science Meetups

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Apply Directly through Our Website

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

Python
SQL
Problem-Solving Skills
Communication Skills
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 Airline Company PLC, 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 Airline Company PLC. 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 Airline Company PLC

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 Airline Company PLC!

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.