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

Nominate & Attend

Senior Data & Analytics Engineer

Jet2
Leeds
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Engineer - KPMG Curve

Senior Data Engineer - KPMG Curve

Senior Data Engineer Azure

Senior Data Engineer Azure

Senior Data Engineer Azure

As our newSenior Data and Analytics Engineer, you'll work as part of a multi-disciplinary, agile, data delivery team 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.

As ourSenior Data and Analytics Engineer, you’ll have access to a wide range of benefits including:

Remote working Annual pay reviews Access to a generous discretionary profit share scheme


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:
You’ll be responsible for delivery of complex data and analytics 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), and the production of a range of data and analytics products including our data warehouse, analytical data sets and visualisations (supported by our central visualisation team)You will transform, cleanse and model our data into our enterprise data warehouse for consumption by both technical users and non-technical business users.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 will 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.
What you’ll have:
Demonstrable experience in development of data pipelines 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.Ideally, you’ll have experience working on the design and data modelling stages of data warehouse projects and be comfortable with conceptual, logical and physical data modelling techniques as well as dimensional modelling techniques.Experience using cloud data warehouse technology- Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse and experience working with key services on either GCP, AWS or Azure. Key services include cloud storage, containerisation, event-driven services, orchestration, cloud functions and basic security/user management.Experience working in an Agile delivery environment, ideally using Scrum and\or Kanban. Able to demonstrate strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders at all levels.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.A strong understanding of SQL and be comfortable reading and writing complex SQL queries ideally across multiple platforms. Knowledge of programming languages such as Python would be beneficial.You’ll have experience working with data from a wide variety of data sources including different database platforms, flat files, API’s and event-driven data feeds.
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 Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.