Data Analytics Engineer

easyJet Airline Company PLC; London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

Join a leading airline as an Analytics Engineer and play a vital role in shaping data-driven decisions. This innovative firm is focused on transforming data into actionable insights, ensuring data quality, and collaborating with teams to enhance reporting capabilities. With a competitive salary, a bonus structure, and excellent travel benefits, this position offers an exciting opportunity to contribute to a fast-paced environment. If you are passionate about data and eager to make an impact, this role is perfect for you!

Benefits

Competitive base salary

Up to 20% bonus

BAYE, SAYE & Performance share schemes

Flexible benefits package

Excellent staff travel benefits

Qualifications

• Strong SQL skills for data querying and management.
• Proficient in Python for data manipulation and automation.
• Experience with cloud platforms and data architecture.

Responsibilities

• Manage and design analytical pipelines for high-quality data.
• Transform data into actionable insights for various use cases.
• Ensure data quality and collaborate with BI Analysts.

Skills

SQL

ETL/ELT pipelines

DBT

Data modelling

AWS

GCP

Python

Git

Apache Airflow

Tableau

ThoughtSpot

Tools

Databricks

Redshift

BigQuery

Snowflake

Job description

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Job Description

Location: Luton/Hybrid

Company Overview

When it comes to innovation and achievement, there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so people can exercise their get-up-and-go. 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. 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, focusing on ensuring that data is fit for purpose, curated for consumption, and discoverable within and beyond their immediate domain. They operate within domain-specific product teams, leveraging their analytical expertise and knowledge of data tools available to inform product development. They perform the heavy lifting of data preparation, allowing Data Scientists and Business Intelligence Analysts to act on data focusing on their core responsibilities to deliver insight and decision support.

Job Accountabilities

• Shape and manage the future direction of easyJet’s Data Engineering practice, focusing on defining, designing, and deploying critical analytical pipelines supporting high-quality and reusable data assets.
• Transform data into actionable insights to support data analytics, data science, machine learning, and AI business use cases. Specialize in transforming and preparing unified cross-functional data sets supporting reports and dashboards that visualise complex data meaningfully across multiple business domains.
• Ensure data quality and integrity by implementing rigorous testing protocols and validation processes. Make data compliant with data policies, protect it, and optimise queries while applying best practices.
• Collaborate with BI Analysts and Data Scientists to refine analytical methodologies and enhance reporting capabilities. Curate data sets and develop code for feature engineering, ensuring production readiness.
• Act as a technical Data Steward, ensuring data governance and discoverability, and promoting the utility of data for analytics, data science, and AI. Document data and analytical pipelines with end-to-end lineage and observability.
• Communicate effectively with business stakeholders, guiding them through the analytics engineering journey. Convey technical concepts clearly to non-technical audiences.

Requirements of the Role

Key Skills Required

• Proficiency in SQL for querying, transforming, and managing data within databases.
• Experience in developing and optimising ETL/ELT pipelines and using DBT for data transformation and modelling.
• Knowledge of data modelling techniques, including star and snowflake schemas, for efficient data analysis.
• 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 using 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, databases, and third-party systems.
• Ensuring data quality through monitoring and validation throughout pipelines.
• Strong troubleshooting skills for resolving data pipeline issues and performance optimisation.
• Familiarity with Tableau and ThoughtSpot for analytics and data compatibility.

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 value fares, and friendly service.

It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you’re working as part of our front-line operations or in our corporate functions, you’ll find people who are positive, inclusive, and ready to take on a challenge. We call that our ‘Orange Spirit’, and we hope you’ll share that too.

Application Process

Complete your application on our careers site.

We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and are committed to building a diverse and inclusive organisation that supports the needs of all. Reasonable adjustments will be made at interview and throughout employment for our candidates.

Business Area

Data

Primary Location