Senior Analytics Engineer: Data Pipelines & Models

Jet2.Com And Jet2Holidays; West Yorkshire; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Annual pay reviews

Profit‑share scheme

Modern data stack

Job summary

Jet2.com and Jet2Holidays, West Yorkshire, England, are seeking a Senior Analytics Engineer to join a multi-disciplinary data delivery team. You’ll focus on analytics layer, building analytics-ready data in our cloud warehouse and implementing complex models with dbt and SQL.

You'll work with analytics, data engineers, scientists, and visualisation specialists to ensure data products are trusted and fit for purpose.

Qualifications

• Proven experience building analytics pipelines with SQL-first transformations.
• Strong data warehousing concepts and dimensional modeling understanding.
• Advanced SQL skills for large datasets and complex queries.
• Experience with cloud data warehouses (Snowflake preferred).
• Experience in modern cloud environments (AWS/GCP/Azure).
• Familiarity with data ingestion and orchestration tools.
• Experience implementing dbt tests and deployment/CI‑CD pipelines.
• Working knowledge of Python for data tasks.

Responsibilities

• Build and maintain analytics-ready data models in our cloud data warehouse.
• Transform raw and curated data into trusted, well-documented datasets for business use.
• Implement complex data models and transformations using SQL and dbt.
• Collaborate with data engineers on ingestion and orchestration.
• Support production data assets, monitoring, and continuous improvement.
• Contribute to data enablement and analytics best practices across the team.

Skills

SQL-first transformations

dbt

Data warehousing concepts

Advanced SQL

Cloud data warehouse (Snowflake)

AWS/GCP/Azure

Airflow

Python

Data quality & observability

Analytics engineering practices

Tools

dbt

Snowflake

Airflow

Azure DevOps

Job description

Jet2.com and Jet2Holidays, West Yorkshire, England, are seeking a Senior Analytics Engineer to join a multi-disciplinary data delivery team. You’ll focus on analytics layer, building analytics-ready data in our cloud warehouse and implementing complex models with dbt and SQL.

You'll work with analytics, data engineers, scientists, and visualisation specialists to ensure data products are trusted and fit for purpose.