Head of Data Engineering — Lead Scalable Data Platforms

MAG (Airports Group); Wythenshawe; Hybrid; GBP 120,000 - 160,000; Full time

Benefits offered by this job

25 days holiday, increasing with tjen

On-site gym

Annual pension contribution 10%

Discounts on CAVU products: Escape Lou

Rail and retail discounts

2 paid volunteering days per year

Job summary

CAVU is undergoing a major digital and data transformation, backed by MAG (Airports Group). We seek a Head of Data Engineering to lead our centralized data engineering function, scale pipelines, and shape future data platforms worldwide.

You will own strategy, architecture, and governance, guiding a high-performing team across analytics, product and engineering to deliver robust data solutions.

Qualifications

• Experience leading data engineering teams
• Strong data architecture and strategy background
• Proven ability to mentor and develop talent
• Proficiency in Python/Scala/Java
• Excellent communication with technical and non-technical stakeholders

Responsibilities

• Lead and mentor a global team of data engineers.
• Develop and execute the data engineering strategy aligned with business goals.
• Design and improve data storage, processing and integration architecture.
• Deliver scalable data pipelines for ingestion, transformation and storage.
• Collaborate with data science, analytics, product and engineering teams.
• Establish data quality, governance, observability and security practices.
• Evaluate new tools and technologies to enhance capabilities.
• Oversee efficient use of infrastructure and resources.
• Manage stakeholders and unblock issues across teams.

Skills

Leadership

Data strategy

Mentoring

Python/Scala/Java

Communication

Tools

Databricks

Rivery

ML-Ops

Job description

CAVU is undergoing a major digital and data transformation, backed by MAG (Airports Group). We seek a Head of Data Engineering to lead our centralized data engineering function, scale pipelines, and shape future data platforms worldwide.

You will own strategy, architecture, and governance, guiding a high-performing team across analytics, product and engineering to deliver robust data solutions.