Senior Data Analytics Engineer: Scale AI Pipelines

We are easy

Jet – a FTSE-250 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you’re reading this, you have probably already been an easy

Jet customer, and you’ll know that there is no more iconic (or Orange!) travel brand in Europe.

We fly more than 1,207 routes, connecting 38 countries across Europe, and employ more than 18,000 colleagues. We’re on a mission to make low-cost travel easy – and whatever your role here, you’ll connect millions of people to what they love using Europe’s best airline network, great value fares, and friendly service.

What makes us easy

Jet? Our Promise Behaviours – we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easy

Jet.

JOB PURPOSE

The Senior Data Analytics Engineer leads the development and optimisation of our advanced analytics ecosystem, ensuring that data is not only fit for purpose but also robustly designed for scalability, reusability, and actionable insights. This role bridges technical expertise and strategic vision to deliver enterprise-grade data solutions, supporting high-impact business use cases across multiple domains.

JOB ACCOUNTABILITIES

To shape and manage future direction of easy

Jet’s Data Engineering practice, focused on defining, designing and deploying critical analytical pipelines supporting high-quality and reuseable data assets:

• Define and drive the future direction of data engineering and analytics practices, ensuring alignment with business goals and technological advancements.
• Design and implement sophisticated data pipelines and transformations, delivering curated, high-quality datasets for advanced analytics, reporting, and AI/ML applications.
• Act as a technical leader and mentor to Analytics Engineers, BI Analysts, and Data Scientists, ensuring cohesive methodologies and enhancing organisational data literacy across the business domains.
• Serve as a senior technical Data Steward, championing best practices in data governance, discoverability, and usage, while ensuring end-to-end documentation and observability of analytical pipelines.
• Leads collaboration with BI Analysts and Data Scientists to refine methodologies, enhance reporting, and deliver scalable, production-ready feature engineering code.

KEY SKILLS REQUIRED

The Senior Analytics Engineer manages data flow in the data Lakehouse, ensuring well-structured, high-quality data for analysis and strategic decision-making.

This role involves collaboration with Domain and Business Data Stewards to align data solutions with organizational objectives. Below are the key technical skills needed by an Senior Analytics Engineer:

• Advanced SQL expertise is essential for querying, transforming, and managing data within databases to support business insights. Proven experience in developing and optimising ETL/ELT pipelines, particularly with tools like DBT, ensures efficient data transformation and modelling.
• A strong understanding of data modelling techniques, including star and snowflake schemas, is critical for structuring data for analysis. Proficiency in cloud platforms, such as AWS and GCP, with hands-on experience in services like Databricks, Redshift, Big Query, and Snowflake, is highly valued.
• Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and Num Py, are necessary for effective data engineering. Expertise in managing and optimising data architectures within data warehouse and Lakehouse environments is a core requirement.
• Proficiency in version control tools like Git ensures effective collaboration and management of code and data models. Experience with workflow automation tools, such as Apache Airflow, is crucial for streamlining and orchestrating complex data processes.
• Skilled at integrating data from diverse sources, including APIs, databases, and third-party systems, ensuring seamless connectivity. A strong commitment to data quality assurance is demonstrated through rigorous validation and monitoring processes throughout the data pipeline.

“Please note that this role does not meet the criteria for visa sponsorship, and we are therefore unable to consider…