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# Senior Analytics Engineer

- **Company:** Easyjet
- **Location:** Luton, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), Power BI, DataOps, SQL Databases, Tableau (Software), Git Flow, AWS Glue, Data Analytics, Tools for Reporting, Data Pipelines
- **Published:** May 24, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=b68c182f1729ebb6

## About the Role

Do you have experience in Tableau?, Extensive experience across data analysis and data engineering, with a strong command of SQL and Python including Git-based workflows Extensive experience with visualisation and analytics tools (ThoughtSpot, Tableau, Power BI or similar) A proven track record with ETL/ELT tooling such as Dagster, dbt, AWS Glue, Airflow or equivalents Experience working within AWS based data environments (GCP experience is a bonus) The ability to take complex technical concepts and communicate them clearly to non-technical audiences Strong stakeholder management skills, translating business goals into data products High attention to detail and the ability to deliver under pressure

## Description

The Senior Analytics Engineer is part of the Technology team at easyJet holidays, reporting into the Senior Data Analytics Manager. Most of the business can already self-serve their day to day data needs through our ThoughtSpot platform, and the Senior Analytics Engineer's job is to push that further, solving the most complex challenges and raising the bar for how data is used across the business.

Working alongside our Data Engineering and Data Science teams, you'll lead the design, build and deployment of analytical pipelines and data visualisations that drive commercial decisions.

As our Senior Analytics Engineer, you'll be responsible for:
Building and maintaining Liveboards and AI Agents using our ThoughtSpot and Redshift toolkit, turning stakeholder requirements into accurate, useful data products Designing, building and refining Python and SQL-based data pipelines within our Dagster and AWS ecosystem, with all models fully documented and tested through dbt Playing a lead role in developing our DataOps framework, enhancing patterns and tooling to make the platform more robust and scalable Owning relationships with key areas of the business, identifying new opportunities to turn data into commercial value Mentoring and coaching Analytics Engineers, Data Engineers and Data Scientists, including supplier based resources, to raise capability across the wider data community Ensuring governance and compliance across the data estate meets all regulatory requirements Supporting adhoc analysis and model development as needed


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