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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