At Jet2.com and Jet2Holidays, we’re here to deliver amazing journeys – literally. Everything we do is guided by a Customer First mindset, creating unforgettable holidays and flights. Trusted, high‑quality data is critical to this, and we’re looking for a Lead Data & Analytics Engineer to help drive delivery excellence and build a high‑performing analytics engineering team.

This role is analytics engineering led, with responsibility for ensuring the Silver and Gold layers of the platform are delivered to a consistently high standard, are reliable in production, and meet business needs.

You’ll work closely with architects, product and delivery partners, and senior stakeholders, while remaining close enough to the detail to ensure quality, manage risk, and support your team effectively.

As our Lead Data & Analytics Engineer, you’ll have access to a wide range of benefits including:

Mostly remote working, with one day per month in our Leeds Holiday House
Annual pay reviews
A generous discretionary profit‑share scheme
The opportunity to shape analytics engineering delivery and standards at scale

What You’ll Be Doing

Your primary focus is solutions delivery and team effectiveness, ensuring analytics engineering outcomes are delivered predictably, safely, and to a high standard.
Leading the delivery of analytics‑ready data solutions, with a strong focus on quality, reliability, and fitness for purpose primarily across Silver and Gold data layers
Developing and leading a high‑performing analytics engineering team, setting clear expectations around capability, standards, quality, delivery discipline, and professional growth
Providing hands‑on technical leadership through risk‑based mentoring, design support, and code reviews, ensuring complex changes are implemented safely and consistently

Maintaining a keen eye on detail across analytics transformations, identifying delivery risks early and taking action to address them

Ensuring analytics engineering best practices are followed, including testing, documentation, deployment discipline, and operational readiness

Working closely with solution and data architects to ensure platform and ingestion decisions support downstream analytics requirements

Collaborating with data engineering teams on ingestion and orchestration from a range of sources (databases, flat files, APIs, and event‑driven feeds), while keeping analytics outcomes central

Acting as the escalation point for production analytics data assets, supporting issue resolution, root cause analysis, and continuous improvement

Supporting recruitment, onboarding, and ongoing development of analytics and data engineers

Helping drive a data‑first culture, promoting shared ownership, learning, and continuous improvement across the data community

Essential Experience

What you’ll have:

Strong background in analytics engineering, with experience delivering complex transformations using SQL‑first approaches, ideally with dbt
Delivery‑focused analytics engineering leader who combines technical depth, attention to detail, and people leadership.
Proven experience understanding, reviewing, and guiding implementation of complex data models across staging (Silver) and warehouse/data‑mart (Gold) layers
Advanced SQL capability, with confidence reviewing, optimising, and assuring the quality of complex transformations
Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse
Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration
Demonstrable experience leading and developing engineers, supporting capability growth, motivation, and consistent delivery standards

Experience working in an Agile delivery environment (Scrum and/or Kanban), with strong stakeholder communication skills

Desirable

Experience overseeing or supporting data ingestion pipelines, including APIs and event‑driven data sources
Familiarity with orchestration tools such as Airflow and modern ELT architectures
Experience governing or implementing data CI/CD pipelines (e.g. dbt tests, deployment pipelines, automated checks). We currently use Azure DevOps
Working knowledge of Python for analytics engineering or enablement purposes
A strong interest in data quality, observability, and operational excellence

This is a leadership role for someone who wants to:

Lead a high‑performing analytics engineering team, not just manage one
Own solutions delivery, balancing pace with quality and risk management
Stay technically credible through design input, reviews, and mentoring
Influence how analytics data is built, trusted, and operated at scale
Work with a modern stack: AWS, Snowflake, dbt, Airflow, SQL, and Python

Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays, your potential has no limits. Apply today and let your career take flight!

Lead Data & Analytics Engineer

UK Visa Sponsorship Analytics