Senior Data Engineer - Operational Data Platform

easyJet holidays
Luton
2 days ago
Create job alert
Overview

We are looking for a Senior Data Engineer to join our Data Team at easyJet Holidays to be a major contributor to the build of our new Operational Data Platform. This platform will sit at the heart of our technology team, providing real-time data across all our applications and services. Reporting into the Lead Data Engineer, they will develop a range of data assets with a focus on event-based streams as well as ad-hoc batches; all ingested and able to be consumed by any customer-facing service within our organisation. This role will have a high degree of autonomy and impact, so we are looking for someone with experience working with OLTP systems and developing highly robust streaming data pipelines.


Key Responsibilities

  • Building Robust Data Assets – Within our new Operational Data Platform, we have a need for a wide range of data assets from across all our business domains. Whether it’s customer, booking, flight, transfer – you name it, we’ll build it. Your role will be to solve business problems by working closely with developers to build re-usable assets which can be used across the entire production ecosystem.
  • Contributing to the Data Platform Design – Our Operational Data Platform is a new strategic initiative to accelerate all development within easyJet Holidays. This role will have an opportunity to play a big impact on the design of the platform and contributing to the standards and patterns used within it.
  • Monitoring Performance and Optimising – Once live, the data from our Operational Platform will have tight requirements and SLAs, so proactive monitoring and rapid resolution for any issues will be key. You’ll be responsible for designing monitoring and maintenance patterns to keep both your assets and the entire platform performing well with minimal downtime.
  • Your Job Accountabilities Will Include – Play a leading role in the design and delivery of the Operational Holidays Data Model, working with the central Data Team to align where it makes sense to do so, but having the freedom to define our own approaches where it makes strategic sense. Ensure governance and compliance in the data estate is effectively deployed and adhered to, meeting all regulatory requirements. Ensure delivery and prioritisation of data engineering initiatives, understanding dependencies across multiple Product and developer teams. Manage the team of Data Engineers and broader platform developers, including supplier-based resources, and for internal resources ensure personal development plans are defined. Manage and maintain the use of the Data Platform, liaising with the platform team to manage usage and costs where appropriate. Ad hoc analysis and model development as required.

What You’ll Bring To The Team

  • This role will have a huge impact on the long-term direction of the Data Engineering team, so we are looking for someone with a passion for Data technologies and a strong drive to change the way we work with Data.
  • Key Skills Required Will Include The ideal candidate will have strong experience building and running bespoke OLTP systems with a focus on high concurrency and reliability. Experience with SQL tools such as Postgres, DuckDB, Databricks, AWS Aurora, etc. Experience with data streaming technologies and integrating disparate sources from ad-hoc batches through to real-time streams. Experience in ETL/ELT tooling (e.g., Dagster, AWS Glue, Azure Data Factory, Airflow, dbt). Understanding of Node.js and TypeScript development to interface with the broader development community. Experience in developing and maintaining API endpoints and other data interfaces for developers. Experience in AWS-based data tooling. Motivated, results-focused self-starter, comfortable in a fast-paced environment. A logical thinker with strong numerical and analytical background and a methodical approach to problem solving. Comfortable working with stakeholders to understand their goals and translate them into data products.

What’s In It For You

In addition to your competitive base salary, we offer an all-inclusive benefits package which includes our company-wide bonus scheme and a 7% pension contribution. We offer a variety of share options and life assurance, and we have an impressive range of flexible benefits you can tailor to your needs. You\'ll have access to heavily discounted flights for yourself and your loved ones, as well as free easyJet Plus membership and annual holiday vouchers.


Additional Details

The role is full-time and based at our easyJet Holidays HQ near Luton Airport. We operate a hybrid working model with three in-office days per week.


How To Apply

Please click on the apply button to complete your application. Applications may close earlier if a high volume is received. EasyJet Holidays is committed to building a diverse and inclusive organisation and will make reasonable adjustments at interview through to employment for our candidates. We strongly encourage applications even if you don’t meet every item in the criteria. We are open to discussions around flexibility and flexible working, and we operate a hybrid working structure.


About EasyJet Holidays

Ready to make your next move? How about make your mark? Join a team with unstoppable drive and passion at easyJet Holidays. In 2019 we launched our easyJet Holidays business, with a mission to provide brilliant holidays at unbeatable prices. We want to lead the industry by making sustainable travel affordable and accessible to everyone. By joining us you’ll be part of the UK’s fastest growing tour operator and a company named as one of the Best Workplaces in Travel. You’ll be given autonomy to do your job, a platform to share your ideas, and you’ll get to work with the very best people in the industry – all to create experiences that customers will remember forever. Make a difference with your next role. Make it easyJet Holidays.


Business Area: Technology - easyJet Holidays


Primary Location: United Kingdom-London-London Luton Airport


Organisation: easyJet Holidays


Schedule: Full-time


Unposting Date: 06/02/2026, 11:59:00 PM


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.