Data Analytics Engineer

easyJet; Luton; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

Join a dynamic and innovative airline as a Data Analytics Engineer, where you'll play a pivotal role in shaping data practices and driving insights across multiple business domains. This position offers the opportunity to work with cutting-edge data tools and collaborate with talented professionals to transform data into actionable insights. You'll ensure data quality, govern data usage, and communicate effectively with stakeholders, all while enjoying a competitive salary and a range of attractive benefits. This is your chance to make a significant impact in a fast-paced environment that values teamwork and innovation.

Benefits

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

Qualifications

• Experience in data preparation and transformation for analytics.
• Proficiency in SQL and Python for data manipulation.

Responsibilities

• Manage and design analytical pipelines for data assets.
• Collaborate with BI Analysts and Data Scientists for reporting.

Skills

SQL

ETL/ELT pipelines

DBT

Data modelling (star and snowflake)

AWS/GCP

Python

Data architecture

Git

Apache Airflow

Tableau

ThoughtSpot

Job description

Data Analytics Engineer

Luton/Hybrid

COMPANY

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

1. 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.
2. 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.
3. Ensure data quality and integrity by implementing rigorous testing protocols and validation processes. Make data compliant with data policies, ensure data protection, and optimise queries while applying best practices.
4. 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 that the code is production-ready.
5. 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.
6. Communicate effectively with business stakeholders, guiding them through the analytics engineering journey. Be capable of explaining technical concepts in an easy-to-understand manner to non-technical stakeholders.

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, to structure data for efficient 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 automating tasks using libraries like Pandas and NumPy.
• Experience managing data architecture and processing within data warehouses and lakehouse platforms like Databricks, Redshift, and Snowflake.
• Experience using Git for version control and managing changes to code and data models.
• Ability to automate tasks and processes 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 visualization.

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

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 working on front-line operations or in corporate functions, our people are positive, inclusive, and ready to take on challenges. We call this our ‘Orange Spirit’, and we hope you’ll share that too.

Apply

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. We will make reasonable adjustments at interview and throughout employment for our candidates.