Head of Data Engineering in Manchester

Head of Data Engineering in Manchester

Manchester Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a dynamic team to shape and scale our data engineering function.
  • Company: Join CAVU, a leader in transforming airport travel experiences.
  • Benefits: Enjoy 25 days holiday, flexible benefits, and a supportive work environment.
  • Why this job: Make a real impact on the future of data in a fast-paced industry.
  • Qualifications: Strong experience in data engineering, Databricks, and cloud platforms required.
  • Other info: Be part of a diverse team committed to innovation and excellence.

The predicted salary is between 48000 - 84000 £ per year.

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. If you’re looking for a career where you can make a real impact, bring new ideas to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights.

CAVU is well into an exciting digital and data transformation journey. With the acquisition of new brands, the expansion of our product portfolio, and a commitment to best-in-class technology, data has become fundamental to how we operate and grow. As we progress towards a fully event-based architecture with data quality at the heart of everything we do, we’re now looking for a Head of Data Engineering to join our Data leadership team. This role will shape, strengthen, and scale our centralised data engineering function—ensuring our platforms, pipelines, and architecture are robust, forward-thinking, and fit for the future. You’ll bring deep expertise across modern data engineering practices, strong technical solution-design capability (particularly with Databricks), and the leadership to empower a high-performing engineering team.

Key Responsibilities

  • Team Leadership: Lead, manage and mentor a team of data engineers, fostering a culture of collaboration, learning, and innovation.
  • Strategic Ownership: Develop and execute the data engineering strategy, ensuring alignment with business objectives and long-term data ambitions.
  • Data Architecture: Design, oversee, and continually improve CAVU’s data storage, processing, and integration architecture.
  • Pipeline Excellence: Ensure the delivery of scalable, high-quality data pipelines for ingestion, transformation and storage.
  • Cross-Functional Collaboration: Partner closely with data science, analytics, product, and engineering teams to ensure data is accessible, discoverable, and meets CAVU standards.
  • Data Quality & Governance: Establish and champion best practices for data quality, governance, observability, and security.
  • Technology Evaluation: Stay ahead of data engineering trends and evaluate emerging tools to enhance the team’s capabilities.
  • Budget & Resource Management: Own the data engineering budget and ensure efficient use of infrastructure and resources.
  • Stakeholder Management: Anticipate issues, remove blockers, and communicate effectively with technical and non-technical stakeholders.

About You

You’re a strategic and hands-on data leader with a passion for building scalable systems, high-performing teams, and exceptional data products. You’re motivated by solving complex problems, enabling others to thrive, and shaping the future of data at CAVU.

Qualifications & Experience

  • Strong experience with medallion architecture and Databricks
  • Proficiency with ETL tools (e.g., Rivery) and ML-Ops frameworks
  • Strong programming skills (Python, Scala or Java)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Excellent communication skills with the ability to bring clarity to complexity
  • Proven ability to anticipate problems and resolve them with ease

Preferred

  • Experience working in a SaaS environment
  • Exposure to machine learning and AI tooling

The Perks

  • 25 days holiday, increasing with service (up to 28)
  • Option to buy up to 10 extra days + 4 flexible bank holidays
  • 10% company pension
  • On-site gym
  • A range of flexible benefits and discounts, including up to 50% off CAVU products such as Escape Lounges and Airport Parking
  • Rail and retail discounts
  • 2 paid volunteering days per year
  • Access to health & wellbeing events, ID&E activities, and learning opportunities
  • Formal and informal development options, including mentoring programmes and learning grants
  • Enhanced parental leave (T&Cs apply)

The Interview Process

  • Recruiter Screen (approx. 15 minutes) – We’ll cover your experience, motivations, and role fit
  • Skills & Competency Interview
  • Values Interview

Equal Opportunities & Reasonable Adjustments

We’re building something brilliant at CAVU: a diverse team of People who reflect the global customer base that we serve. We’re proudly part of MAG and together we’re on a mission to be number one in our industries, and that takes talent in all its forms. With so many exciting roles across businesses, there’s space for your unique strengths to shine. Whether this is your first role or your next big step, we want to hear from you – even if you don’t think you tick every box. What matters most is what you bring. We’re proud to be a Disability Confident employer. If you need any adjustments to support your application or interview, just let us know. We’re committed to helping you perform at your best. At MAG and CAVU, every journey matters. Our Colleague Communities play a big part in that: Women’s Network, Embrace (Race & Ethnicity), Fly with Pride (LGBTQIA+), Mind Matters (Mental Health), PACT (Parents & Carers), RespectABILITY (Disability & Neurodiversity), and the CAVU Global ID&E Affinity Group.

Head of Data Engineering in Manchester employer: MAG (Airports Group)

CAVU is an exceptional employer that fosters a culture of innovation and collaboration, providing employees with the freedom to be their authentic selves while working on transformative projects in the airport travel industry. With a strong commitment to employee growth, CAVU offers extensive benefits including flexible working arrangements, generous holiday allowances, and opportunities for professional development, all within a supportive environment that values diversity and inclusion. Join us in shaping the future of travel and making a meaningful impact every day.
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Contact Detail:

MAG (Airports Group) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Data Engineering in Manchester

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with CAVU employees on LinkedIn. Building relationships can open doors that applications alone can't.

✨Tip Number 2

Prepare for those interviews! Research CAVU's projects and values, and think about how your experience aligns with their mission. Show them you’re not just another candidate, but someone who truly gets what they’re about.

✨Tip Number 3

Practice makes perfect! Do mock interviews with friends or use online platforms to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to shine.

✨Tip Number 4

Don’t forget to follow up! After your interview, send a thank-you email to express your appreciation and reiterate your interest in the role. It’s a small gesture that can leave a big impression.

We think you need these skills to ace Head of Data Engineering in Manchester

Data Engineering
Team Leadership
Strategic Planning
Data Architecture
Pipeline Development
Cross-Functional Collaboration
Data Quality Management
Technology Evaluation
Budget Management
Stakeholder Communication
Medallion Architecture
Databricks
ETL Tools
Cloud Platforms (AWS, Azure, GCP)
Programming (Python, Scala, Java)

Some tips for your application 🫡

Show Your Passion: When you're writing your application, let your enthusiasm for data engineering shine through! We want to see how excited you are about transforming airport travel and making a real impact at CAVU.

Tailor Your Experience: Make sure to highlight your relevant experience with medallion architecture and Databricks. We’re looking for someone who can hit the ground running, so connect your skills directly to what we need in the role.

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, especially when it comes to complex topics like data architecture and pipeline excellence. Make it easy for us to see your strengths!

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at CAVU.

How to prepare for a job interview at MAG (Airports Group)

✨Know Your Data Engineering Stuff

Make sure you brush up on your knowledge of medallion architecture and Databricks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.

✨Showcase Your Leadership Skills

CAVU is looking for someone who can lead a team effectively. Prepare examples of how you've managed and mentored teams in the past, fostering collaboration and innovation. Highlight any specific strategies you've implemented to improve team performance.

✨Understand Their Business Goals

Familiarise yourself with CAVU's mission to enhance airport travel experiences. Think about how your data engineering strategy can align with their business objectives and be prepared to share your vision on how to achieve this during the interview.

✨Communicate Clearly

Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. This will demonstrate your excellent communication skills and ability to bring clarity to complexity, which is crucial for the role.

Head of Data Engineering in Manchester
MAG (Airports Group)
Location: Manchester

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