Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Jet2
Leeds
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer - DataOps

Data Engineer - DataOps

Machine Learning Engineer

Data Scientist - Engineer Data Engineering · London, UK · Hybrid

Senior Data Engineer - Data Science & Engineering | Global Lifestyle Brand

AI Engineer (data science & software)

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

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 Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.