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Head of Data Engineering

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Parking Network B.V.

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Location:
United Kingdom , Manchester

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • Experience working in a SaaS environment
  • Exposure to machine learning and AI tooling
What we offer:
  • 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
  • MediCash scheme
  • 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)

Additional Information:

Job Posted:
January 04, 2026

Expiration:
January 12, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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