Head of Data Engineering — Global Data Platform Leader

Parking; Manchester; Hybrid; GBP 110,000 - 150,000; Full time

Benefits offered by this job

25 days holiday (28 with service)

On-site gym

10% company pension

Discounts on CAVU products

Volunteer days

Learning grants

Flexible benefits

Parental leave enhancements

Job summary

CAVU is accelerating its data transformation journey and seeking a Head of Data Engineering. You will shape and scale a centralised data function, leading a global team to deliver robust pipelines, architecture and governance that empower analytics, product, and commercial initiatives.

You’ll bring deep expertise in modern data engineering, Databricks and medallion architecture, with strong leadership to drive cross-functional collaboration and independent decision-making at scale.

Qualifications

• Experience leading data engineering teams and delivering scalable data platforms.
• Strong understanding of data architecture, governance and observability.
• Excellent written and verbal communication with non-technical stakeholders.

Responsibilities

• Lead and mentor a global data engineering team to deliver robust pipelines and data products.
• Define and drive data engineering strategy aligned with business goals.
• Oversee data storage, processing and integration architecture for scalability.

Skills

Databricks

Medallion architecture

Team leadership

ETL tools (Rivery)

ML-Ops frameworks

Python/Scala/Java

Cloud platforms (AWS/Azure/GC)

Stakeholder communication

Tools

Rivery

AWS

Azure

Google Cloud

Job description

CAVU is accelerating its data transformation journey and seeking a Head of Data Engineering. You will shape and scale a centralised data function, leading a global team to deliver robust pipelines, architecture and governance that empower analytics, product, and commercial initiatives.

You’ll bring deep expertise in modern data engineering, Databricks and medallion architecture, with strong leadership to drive cross-functional collaboration and independent decision-making at scale.