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Senior Data Engineer

Date: 17-Sep-2022

Location: Manchester Airport, GB

Company: MAG


  • We are proud to be a diverse employer, and we welcome candidates from all backgrounds
  • Flexible/ Hybrid working for a better work/ life balance
  • Identify trends, drive insights, steer commercial decision making,
  • Develop something new – see the results!
  • Work for an iconic business and do things never before achieved within our industry
  • Competitive base + 11% company contribution pension, free parking and other corportate benefits
  • Based above Manchester Airport’s Train/ Tram station






For airports, for partners, for people. We are CAVU.

Founded by MAG (Manchester Airports Group) and backed by over 80 years of aviation expertise, we’re striving to revolutionise airport travel, creating value for passengers and the businesses that serve them.


Our journey:


Our unrivalled knowledge of the passenger comes from our origins. Formed from the union of MAGO, MAG USA and our network of direct-to-consumer brands - who together drive market leading passenger spend for airports across the world - we have combined our resources to address evolving passenger needs today and exceed them as we move forward into tomorrow.


Pre-book, online or in the airport, our solutions make travel more seamless and enjoyable for passengers and more profitable for our clients and partners.




Our name is taken from the aviation, meteorology term, ‘Ceiling And Visibility Unlimited’ (CAVU), which designates the perfect flying condition, where the ceiling is more than 10,000ft and the visibility is more than ten miles.


More than just a name, CAVU is our mindset. It represents all that we stand for. Our proud aviation heritage, our drive to push boundaries, and the very essence of what we do: creating seamless, enjoyable travel experiences for airport passengers.



This Senior Data Engineer position is a key component in the growth of the Data Team. Supporting the existing team of data scientists, data engineers and analysts, this role will help provide the glue that enables the team to capitalise on the data assets the business has, and drive value from the insight we extract. We develop advanced and actionable data-driven insight to increase the efficiency of our marketing and ecommerce, increase customer lifetime value, improving customer experience, and open new business opportunities.


We’re working on a host of projects – from integrations with client systems and third parties, to building out a data warehouse capable of handling batch and streamed data; machine learning tools for forecasting, customer insight and prediction; real-time reporting for the whole organization.


This is an exciting role for anyone who wants to build something new and see the fruits of their labour put into action in a large platform as we deliver (using agile principles of incremental deployment) a completely new, globally unique product to new and existing clients worldwide.  Moreover, you will be working within a tech literate business with people across all departments who share the same product goals


As the successful candidate, you can expect to work on:


  • Building infrastructure to support analytics,
  • Productionising machine learning models,
  • Enabling data science functions
  • Building architecture to incorporate international networks of clients and suppliers





As the successful individual, you will have experience working as a Senior Data Engineer or experience leading engineering projects and developing and delivering solutions, be a genuine self-starter, and eager to support our business in tackling real world strategic business and customer problems.


You will have in-depth practical experience with AWS and will be comfortable leveraging services such as EC2, Redshift, Lambda, Kinesis, and Batch.  Further, you’ll be able to help shape our evolving data science environment. You will have expert experience with Python, detailed SQL knowledge, and be used to dealing with API services to ingest and process data. Experience of supporting data users working with Python or R is advantageous.


As well as the technical skills required, you will also have the ability to understand commercial and technical problems and help drive the solution both through technical design and through stakeholder and project management.

You must be naturally inquisitive and unafraid to offer solutions in a supportive and collaborative manner. You will need to be able to deal with multiple tasks simultaneously and be a supporting team player. As a growing team within CAVU, you will have the opportunity to help shape how we operate, work with the latest technologies, and grow your skills, experience, and responsibilities.


What are we offering?


  • A company that is inclusive and tolerant to all
  • Flexible working approach (not just during Covid, but ongoing)
  • Strong base salary (on experience) + 11% pension and bonus
  • Free parking and significantly subsidised public transport
  • Discounts on company products
  • 25 days Holiday entitlement (plus the ability to buy more)
  • Great work culture: the feel of a tech start-up with the backing of a global corporate with fantastic career development and advancement opportunities
  • Based above a train/ tram station for an easy commute (when not working from home!)
  • Free coffee/ gym/ break out areas/ great company culture and approach
  • AWS Certification (if needed) / online training/ exam vouchers/ tickets to events etc.



Equal Opportunities

MAG is a values led organisation and we are committed to providing equal opportunities in all areas of work and business.  We want people to achieve their best, which will in turn positively impact on our customers and the communities in which we live and work. At MAG we empower people to be themselves within an inclusive and supportive environment, enabling everyone to achieve their full potential in line with their abilities and career aspirations.


Reasonable Adjustments 

As an inclusive employer, MAG wants to see every candidate performing at their best throughout the job application process, interview process and whilst at work. We therefore encourage you to inform us of any reasonable adjustments you might need to enable this to happen.



We intend to move quickly, so please apply today!