JOB ACCOUNTABILITIES

• 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.
• Build best practice and constantly improve processes and core code bases.
• Work in partnership with Data Engineers to conform to/define patterns and standards.
• Work with Business Analysts to deliver against requirements and realise business benefits.
• Work with a mixed team of onshore and offshore resource to work with consistent standards and frameworks.
  Requirements of the Role

KEY SKILLS REQUIRED

· Technical Ability: has a high level of current, technical competence in relevant technologies, and be able to independently learn new technologies and techniques as our stack changes.

• The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks.
• Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike.
• Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. 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.

TECHNICAL SKILLS REQUIRED

• Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD).
• 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.g Docker, shell scripting).
• 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. GDPR).
• Experience with CI/CD tools, in particular GitHub actions.
• Hands-on IaC development experience with Terraform or CloudFormation.

Desirable Skills

• Hands-on development experience in an airline, e-commerce or retail industry
• 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.

What you’ll get in return

• 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

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