At a Glance
- Tasks: Lead the development of advanced analytics and optimise data solutions for impactful business insights.
- Company: Join easyJet, a leading low-cost airline with a vibrant culture and innovative spirit.
- Benefits: Enjoy competitive salary, bonuses, flexible working, and discounted travel for friends and family.
- Other info: Hybrid work model with excellent career growth opportunities in a diverse environment.
- Why this job: Make a real impact in data engineering while connecting millions to what they love.
- Qualifications: Advanced SQL, Python skills, and experience with ETL/ELT pipelines are essential.
The predicted salary is between 60000 - 72000 £ per year.
We are easyJet – a FTSE-250 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.
JOB PURPOSE
The Senior Data Analytics Engineer leads the development and optimisation of our advanced analytics ecosystem, ensuring that data is not only fit for purpose but also robustly designed for scalability, reusability, and actionable insights. This role bridges technical expertise and strategic vision to deliver enterprise-grade data solutions, supporting high-impact business use cases across multiple domains.
JOB ACCOUNTABILITIES
- Define and drive the future direction of data engineering and analytics practices, ensuring alignment with business goals and technological advancements.
- Design and implement sophisticated data pipelines and transformations, delivering curated, high-quality datasets for advanced analytics, reporting, and AI/ML applications.
- Act as a technical leader and mentor to Analytics Engineers, BI Analysts, and Data Scientists, ensuring cohesive methodologies and enhancing organisational data literacy across the business domains.
- Serve as a senior technical Data Steward, championing best practices in data governance, discoverability, and usage, while ensuring end-to-end documentation and observability of analytical pipelines.
- Lead collaboration with BI Analysts and Data Scientists to refine methodologies, enhance reporting, and deliver scalable, production-ready feature engineering code.
KEY SKILLS REQUIRED
The Senior Analytics Engineer manages data flow in the data Lakehouse, ensuring well-structured, high-quality data for analysis and strategic decision-making. This role involves collaboration with Domain and Business Data Stewards to align data solutions with organisational objectives. Below are the key technical skills needed by a Senior Analytics Engineer:
- Advanced SQL expertise is essential for querying, transforming, and managing data within databases to support business insights.
- Proven experience in developing and optimising ETL/ELT pipelines, particularly with tools like DBT, ensures efficient data transformation and modelling.
- A strong understanding of data modelling techniques, including star and snowflake schemas, is critical for structuring data for analysis.
- Proficiency in cloud platforms, such as AWS and GCP, with hands-on experience in services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued.
- Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for effective data engineering.
- Expertise in managing and optimising data architectures within data warehouse and Lakehouse environments is a core requirement.
- Proficiency in version control tools like Git ensures effective collaboration and management of code and data models.
- Experience with workflow automation tools, such as Apache Airflow, is crucial for streamlining and orchestrating complex data processes.
- Skilled at integrating data from diverse sources, including APIs, databases, and third-party systems, ensuring seamless connectivity.
- A strong commitment to data quality assurance is demonstrated through rigorous validation and monitoring processes throughout the data pipeline.
Please note that this role does not meet the criteria for visa sponsorship, and we are therefore unable to consider applicants who require sponsorship to work in the UK.
How to Apply:
If you are a self-starter who can identify opportunities to drive greater success for the team and have a track record of building strong relationships with internal stakeholders, we would love to hear from you. Apply now to join our dynamic team!
What you’ll get in return:
At easyJet, we pride ourselves on a vibrant and inclusive workplace culture that supports and rewards innovation and excellence. We offer:
- Competitive base salary
- 20% bonus potential.
- 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 easyJet holidays
- ‘Work Away’ scheme, allowing you to work abroad for 30 days a year
- Electric vehicle lease salary sacrifice scheme
Location & Hours of Work
We operate a hybrid working policy of 40%-60% of the month spent with colleagues.
We look forward to your application and the possibility of you flying high with our team!
Application Process:
Interested candidates should apply through our careers portal.
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. We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation.
Senior Data Analytics Engineer in Bedford employer: Easyjet
At easyJet, we are committed to fostering a vibrant and inclusive workplace culture that not only supports innovation but also rewards excellence. As a Senior Data Analytics Engineer, you will enjoy competitive benefits including a generous salary, bonus potential, and a flexible working environment that allows for a healthy work-life balance. With opportunities for professional growth and the chance to contribute to a leading airline's data strategy, easyJet is an exceptional employer for those looking to make a meaningful impact in the aviation industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics Engineer in Bedford
✨Tip Number 1
Network like a pro! Reach out to current employees at easyJet on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data modelling skills. Be ready to showcase your experience with ETL/ELT pipelines and cloud platforms. We want to see how you can bring value to our data engineering practice!
✨Tip Number 3
Show off your problem-solving skills! During interviews, be prepared to discuss specific challenges you've faced in data analytics and how you tackled them. This is your chance to demonstrate your bold and challenging spirit.
✨Tip Number 4
Don’t forget to apply through our careers portal! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining the easyJet family.
We think you need these skills to ace Senior Data Analytics Engineer in Bedford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analytics Engineer role. Highlight your experience with SQL, ETL/ELT pipelines, and any cloud platforms you've worked with. We want to see how your skills align with what we're looking for!
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 you can contribute to easyJet's mission. Be bold and show us your personality – we love that!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a cool data pipeline or an innovative analytics solution, we want to see what you've done and how it relates to our needs.
Apply Through Our Website:Don't forget to apply through our careers portal! It's the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining our team at easyJet!
How to prepare for a job interview at Easyjet
✨Know Your Data Inside Out
As a Senior Data Analytics Engineer, you’ll need to demonstrate your advanced SQL skills and understanding of data modelling techniques. Brush up on your knowledge of star and snowflake schemas, and be ready to discuss how you've used these in past projects.
✨Showcase Your Technical Leadership
This role involves mentoring others, so think about examples where you've led a team or project. Be prepared to share how you’ve enhanced data literacy and best practices in previous roles, as this will show your capability to act as a technical leader.
✨Familiarise Yourself with Tools and Platforms
Make sure you’re well-versed in the tools mentioned in the job description, like DBT, Databricks, and Apache Airflow. Have specific examples ready that highlight your experience with these platforms, especially in developing and optimising ETL/ELT pipelines.
✨Align with easyJet’s Values
easyJet values being Safe, Bold, Welcoming, and Challenging. Think of ways you can embody these behaviours during your interview. Whether it’s discussing a bold project you undertook or how you fostered a welcoming environment for your team, aligning your answers with their values will make a strong impression.