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Lead Data Engineer

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: MAG (Airports Group)
Full Time position
Listed on 2026-08-06
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below

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For airports, for partners, for people. We are Cavu.
At Cavu, our purpose is to find new and better ways to make airport travel seamless and enjoyable for everybody — from the smallest ideas to the biggest transformations. Every day is an opportunity to create better travel experiences.

From our revenue-accelerating single-platform technology, Propel, through to our world-class hospitality venues including 1903 and Escape Lounges, our solutions make travel smoother for passengers and more profitable for our clients and partners.

We know that to bring your best ideas, you need the space to think, the support to grow, and the freedom to be your authentic self. Whether you're working from our offices, from home, in our lounges, or on the road, we provide an environment where you can create, innovate, and help transform airport travel.

Together, we can reach new heights. Together, we are Cavu.

The role

We're looking for an experienced Lead Data Engineer to play a critical role in shaping and evolving CAVU's data platform, enabling data-driven decision-making across our products and business.

Reporting to the Head of Data Engineering, you'll lead a team of Data Engineers while remaining hands-on in the design, development and optimisation of our modern data ecosystem. You'll help define technical strategy, drive engineering best practice and build the data foundations that power analytics, machine learning and operational decision making.

Working closely with Data Scientists, BI Developers, Analysts and stakeholders across Technology and the wider business, you'll deliver scalable cloud-based data solutions that unlock value from a wide range of data assets. From enhancing our data lakehouse and supporting event-driven architectures to enabling advanced forecasting and customer insight capabilities, you'll play a key role in turning data into commercial value.

This is an exciting opportunity to join a growing team building a globally unique platform using modern technologies, where you'll have genuine influence over technical direction and help solve complex customer and business challenges.

Key Responsiblities

Lead, mentor and develop a team of Data Engineers, fostering a collaborative, high-performing engineering culture.

Create development plans, provide technical coaching and support career progression across the team.

Partner with the Head of Data Engineering to define and deliver impactful data strategies and initiatives.

Design, build and maintain scalable data pipelines, ETL processes and data integration solutions.

Collaborate with Data Scientists, BI Developers, Analysts and business stakeholders to translate business requirements into robust technical solutions.

Drive data quality through the implementation of validation, integrity and monitoring processes.

Optimise the performance of databases, data warehouses, data lakes, lake houses and streaming data platforms.

Support the development of event-driven and real-time data architectures that enable advanced analytics and machine learning capabilities.

Evaluate and implement modern data technologies, tools and frameworks to enhance analytics and data processing capabilities.

Define and promote best practice in data governance, privacy, security and engineering standards.

Work closely with Infrastructure and Operations teams to deploy, manage and support cloud-based data platforms.

Provide technical leadership when troubleshooting complex data-related issues and drive continuous improvement across the data engineering function.

Stay current with emerging trends and technologies, identifying opportunities to improve efficiency, scalability and business value.

What we need from you

Proven experience (5+ years) working as a Data Engineer, with strong experience designing and implementing data pipelines, ETL processes and data warehouse solutions.

Previous experience leading engineering projects, mentoring colleagues or managing data engineering teams.

Strong Python and SQL skills, with experience working with large-scale datasets and distributed data processing environments.

Experience with technologies such as Apache…

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