Data Analytics Engineer at easyJet

, , -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Troubleshooting, Tableau, ThoughtSpot, AWS, GCP, Databricks, Redshift, BigQuery, Snowflake, APIs, Databases, Collaboration, Innovation, Results Focus

Industry

Airlines and Aviation

Description

We are easyJet – a FTSE-100 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you’re reading this, you have probably already been an easyJet customer, and you’ll know that there is no more iconic (or Orange!) travel brand in Europe. 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. Job Purpose We’re looking for a Data Analytics Engineer to join our data-driven teams. You’ll ensure data is fit for purpose, curated for consumption, and discoverable across domains. Working within domain-specific product teams, you’ll leverage your analytical expertise and knowledge of data tools to inform product development. You’ll be responsible for preparing data, enabling Data Scientists and BI Analysts to deliver insights and decision support. Key Responsibilities: • Develop and implement effective governance and standards across the portfolio. • Drive optimal allocation and utilisation of resources to maximise efficiency and effectiveness. • Facilitate approval forums and ensure accurate documentation of decisions and actions. • Effect decision-making to streamline the portfolio and support delivery of results. • Shape and manage the future direction of easyJet’s Data Engineering practice • Define, design, and deploy critical analytical pipelines supporting high-quality, reusable data assets • Manage the flow of data across the medallion layers (silver and gold) of the data Lakehouse • Ensure data quality through monitoring and validation throughout the pipeline • Troubleshoot and resolve data pipeline issues, optimising performance • Ensure compatibility with analytical platforms such as Tableau and ThoughtSpot Key Skills & Experience: • Strong Python skills for data manipulation, scripting, and automating tasks using libraries like Pandas and NumPy. • Proficiency in SQL for querying, transforming, and managing data within databases. • Strong troubleshooting skills for resolving data pipeline issues • Familiarity with Tableau and ThoughtSpot for analytics • Familiarity with cloud platforms such as AWS or GCP, including services like Databricks, Redshift, BigQuery, and Snowflake. • Experience with APIs, databases, and third-party systems • Ability to build positive relationships and work collaboratively within teams • Innovative mindset, open to new ways of working and comfortable in a dynamic environment • Focused on delivering results, adapting plans as needed to achieve targets 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%25 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%25-60%25 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 at ma.recruitment@easyjet.com. We are committed to providing reasonable adjustments throughout the recruitment process to ensure accessibility and accommodation

Responsibilities

The Data Analytics Engineer will develop and implement effective governance and standards, manage data flow across the data Lakehouse, and ensure data quality. They will also troubleshoot data pipeline issues and support product development with analytical insights.