When it comes to innovation and achievement there are few organisations with a better track record. With almost 300 aircraft flying over 1,000 routes to more than 32 countries, we’re the UK’s largest airline, the fourth largest in Europe and the tenth largest in the world. With a big investment into Databricks and a large amount of interesting data this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use data in a fast paced organisation.
You will join as a Data Platform Engineer joining a team of committed data specialists. As our data strategy begins to take shape, we aim to become the most data driven airline in the world. To achieve this goal, we want to use our data to improve all our business processes and that means allowing our teams to experiment and innovate as they deem fit. Within data platform engineering, this translates to building the frameworks and tooling data engineers, analysts and scientists utilise, enabling platform users to focus on value delivery
Support the business in harnessing the power of data within easyJet.
Work in a fast-paced agile scrum environment with a “release within sprint mentality”.
Responsible for building and maintaining deployment frameworks.
Work in partnership with Data Engineers to conform to/define patterns and standards.
Work with a mixed team of onshore and offshore resource to work with consistent standards and frameworks.
The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks.
Able to use historical experiences to help with future innovations.
Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field.
Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. Experience with Apache Spark or any other distributed data programming frameworks.
Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake.
Experience with cloud infrastructure like AWS or Azure.
Experience with Linux and containerisation (e.Understanding Data modelling and Data Cataloguing principles.
Understanding of Data Management principles (security and data privacy) and how they can be applied to Data Engineering processes/solutions (e.g. access management, data privacy, handling of sensitive data (e.g. Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam.
Experience implementing end-to-end monitoring, quality checks, lineage tracking and automated alerts to ensure reliable and trustworthy data across the platform.
Experience of building a data transformation framework with dbt.
Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture.
Competitive base salary
~ Up to 20% bonus
~25 days holiday
~ BAYE, SAYE & Performance share schemes
~7% pension
~ Life Insurance
~ Work Away Scheme
~ Flexible benefits package
~ Excellent staff travel benefits
At easyJet our aim is to make low-cost travel easy – connecting people to what they value using Europe’s best airline network, great value fares, and friendly service.
It takes a real team effort to carry over 90 million passengers a year across 35 countries. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all.