Data Analytics Engineer

easyJet Airline Company PLC; Greater London; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

Join a forward-thinking airline as an Analytics Engineer, where your expertise will drive data quality and support innovative analytics solutions. In this dynamic role, you will shape the future of data engineering, collaborating with cross-functional teams to develop actionable insights and maintain high-quality data assets. With a commitment to excellence, this organization offers a competitive salary, flexible benefits, and a vibrant work culture. If you are passionate about data and eager to make an impact in a fast-paced environment, this is the perfect opportunity for you.

Benefits

Competitive base salary

Up to 20% bonus

BAYE, SAYE & Performance share schemes

Flexible benefits package

Excellent staff travel benefits

Qualifications

• Proficient in SQL and Python for data manipulation and automation.
• Experience with ETL processes and cloud platforms like AWS or GCP.

Responsibilities

• Manage data engineering practices and design analytical pipelines.
• Transform data into insights for analytics and machine learning.

Skills

SQL

ETL/ELT pipelines

DBT

Data modeling techniques

AWS or GCP

Python

Data architecture

Git

Apache Airflow

Data quality monitoring

Tableau

ThoughtSpot

Job description

Job Description

Description

Luton/Hybrid

COMPANY

When it comes to innovation and achievement, there are few organisations with a better track record. Join us and play a significant role in our highly successful, fast-paced business that opens up Europe, enabling people to exercise their get-up-and-go. With almost 300 aircraft flying over 1,000 routes to more than 32 countries, we are the UK’s largest airline, the fourth largest in Europe, and the tenth largest in the world. Set to fly more than 90 million passengers this year, we employ over 10,000 people. It’s big-scale stuff, and we’re still growing.

JOB PURPOSE

The Analytics Engineer plays a crucial role in data-driven teams, ensuring data is fit for purpose, curated for consumption, and discoverable within and beyond their immediate domain. They work within domain-specific product teams, leveraging their analytical expertise and knowledge of data tools to inform product development. They handle data preparation, enabling Data Scientists and Business Intelligence Analysts to focus on delivering insights and decision support.

JOB ACCOUNTABILITIES

1. Shape and manage the future direction of easyJet’s Data Engineering practice, focusing on designing and deploying analytical pipelines that support high-quality, reusable data assets.
2. Transform data into actionable insights to support analytics, data science, machine learning, and AI business use cases. Develop and maintain unified, cross-functional datasets supporting reports and dashboards that visualize complex data across multiple domains.
3. Ensure data quality and integrity through rigorous testing and validation protocols. Make data compliant with policies, protect it, and optimize queries by applying best practices.
4. Collaborate with BI Analysts and Data Scientists to refine methodologies and improve reporting capabilities. Curate datasets and develop production-ready code for feature engineering.
5. Act as a technical Data Steward, ensuring data governance, discoverability, and promoting data utility for analytics, data science, and AI. Document data pipelines with end-to-end lineage and observability.
6. Communicate effectively with business stakeholders, guiding them through the analytics engineering process and explaining technical concepts clearly.

Requirements of the Role

KEY SKILLS REQUIRED

• Proficiency in SQL for querying, transforming, and managing data within databases.
• Experience developing and optimizing ETL/ELT pipelines and using DBT for data transformation and modeling.
• Knowledge of data modeling techniques, including star and snowflake schemas.
• Familiarity with cloud platforms such as AWS or GCP, including services like Databricks, Redshift, BigQuery, and Snowflake.
• Strong Python skills for data manipulation, scripting, and automation using libraries like Pandas and NumPy.
• Experience managing data architecture within data warehouses and lakehouse platforms like Databricks, Redshift, and Snowflake.
• Experience with Git for version control.
• Ability to automate tasks using Python or workflow orchestration tools like Apache Airflow.
• Skill in integrating data from various sources, including APIs and third-party systems.
• Ensuring data quality through monitoring and validation.
• Strong troubleshooting skills for resolving pipeline issues and performance optimization.
• Familiarity with Tableau and ThoughtSpot for analytics and data visualization.

What you’ll get in return

• Competitive base salary
• Up to 20% bonus
• BAYE, SAYE & Performance share schemes
• Flexible benefits package
• Excellent staff travel benefits

About easyJet

At easyJet, our aim is to make low-cost travel easy—connecting people to what they value using Europe’s best airline network, great fares, and friendly service.

It takes a team effort to carry over 90 million passengers a year across 35 countries. Whether working front-line or in corporate roles, our people are positive, inclusive, and ready to take on challenges. We call this our ‘Orange Spirit’, and we hope you’ll share it too.

Apply

Complete your application on our careers site.

We encourage individuality, empower initiative, and value learning. We see performance and potential first and are committed to diversity and inclusion. Reasonable adjustments will be made during interview and employment processes.

Business Area

Data

Primary Location