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Head of Data Engineering

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Central Parking
Full Time position
Listed on 2025-12-30
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below

Head of Data Engineering

Hybrid

Permanent

About CAVU

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.

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. Together, we are CAVU.

What’s the role?

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 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
  • Annual bonus scheme
  • On-site gym
  • Medi Cash scheme
  • A range of flexible benefits and discounts, including up to 50%…
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