National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Jet2
Leeds
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Reporting to one of ourLead Data & Analytics Engineers, ourData Engineerwill work as part of amulti-disciplinary,agile, data deliveryteam focused on the delivery of innovative, robust, and efficient data solutions to complex business problems. You'll work alongside a team of passionate data professionals including other data and analytics engineers, test engineers, data scientists and data visualisation specialists.

Our priority is the delivery of high-quality, well-modelled, clean, and trustworthy data assets for use across the business. Our data teams also work hard to support all our data assets and ensure the business realise maximum benefit and return on investment from them.

As ourData Engineer, you’ll have access to a wide range of benefits including:

Remote or Hybrid working Annual pay reviews Colleague discounts onJet2holidaysandJet2.comflights


AtJet2.comandJet2holidayswe’re working together to deliver an amazing journey, literally! We work together to really drive forward a ‘Customer First’ ethos, creating unforgettable package holidays and flights. We couldn’t do it without our wonderful people.

What you’ll be doing:
Data Delivery: You'll be responsible for delivery of complex data solutions including the ingest of data from a wide variety of data sources into our analytics platforms (typically cloud-based but some work on our on-premise data analytics platforms), transformation and cleansing of data and modelling of data into our enterprise data warehouse for consumption by both technical users and non-technical business users via centrally developed reporting and visualisation or self-service platforms.Data Culture: You'll drive a data-first culture both within the data team and across the business by supporting continual learning and development within your team and data enablement activity across the wider business. You'll demonstrate a passion for data and encourage a similar passion within your team. As part of a data-first culture you may also be involved in supporting production data assets (not on a first-line basis).
What you’ll have:
Able to demonstrate strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders at all levels.Experienced working in an Agile delivery environment, ideally using Scrum and\or Kanban.Able to demonstrate strong proficiency in at least some of the following technical areas (cross-training and upskilling supported for the right individual where necessary):SQL (mandatory):A strong understanding of SQL and be comfortable reading and writing complex SQL queries ideally across multiple platforms.Cloud Platforms (highly desirable): Experience working with key services on either GCP (preferred), AWS or Azure. Key services include cloud storage, containerisation, event-driven services, orchestration, cloud functions and basic security/user management.Data Warehousing (highly desirable):Experience working on a data warehouse solution irrespective of underlying technology. Experience using cloud data warehouse technology would also be beneficial - Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse.Data Pipeline (highly desirable):Demonstrable experience working with data from a wide variety of data sources including different database platforms, flat files, API’s and event-driven data feeds. Experience building complex data transformations ideally using dbt. Experience working with large data volumes, near real-time or event-driven data would be an advantage. Knowledge of programming languages such as Python would be beneficial.
Additional Desirable Technical and other skills:
CI\CD & Automation (desirable):Any experience developing or supporting data CI\CD pipelines regardless of tooling would be beneficial. We use Microsoft Azure DevOps to run most of our CI\CD pipelines. We also rely heavily on Infrastructure as Code for cloud infrastructure deployment so any experience with technology such as Terraform would be beneficial in this respect.Data Visualisation (desirable):Although we have dedicated data visualisation specialists within the team, any knowledge of, or experience with, data visualisation platforms such as Tableau (preferred), Power BI, Looker or Quicksight would be beneficial.
Join us as we redefine travel experiences and create memories for millions of passengers. AtJet2.comandJet2holidays, your potential has no limits. Apply today and let your career take flight!

#LI-Remote

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.