Head of Data Engineering — Lead Scalable Data Platforms

Manchester Airport plc.; Manchester; Hybrid; GBP 85,000 - 110,000; Full time

Job summary

A leading airport service provider in Manchester is looking for a Head of Data Engineering to lead their data leadership team. You will shape the centralized data engineering function and ensure platforms and architecture are robust. The position requires strong experience in modern data engineering practices, specifically with Databricks and team leadership. This is an opportunity to innovate and enhance data infrastructure in a dynamic environment.

Benefits

25 days holiday, increasing with service (up to 28)

Option to buy up to 10 extra days + 4 flexible bank holidays

10% company pension

On-site gym

Flexible benefits and discounts on products

Rail and retail discounts

2 paid volunteering days per year

Access to health & wellbeing events

Formal and informal development options

Qualifications

• Strong experience with medallion architecture and Databricks.
• Proficiency with ETL tools and ML-Ops frameworks.
• Strong programming skills in Python, Scala or Java.
• Experience with cloud platforms in AWS, Azure, or GCP.
• Excellent communication skills to clarify complex matters.

Responsibilities

• Lead, manage, and mentor a team of data engineers.
• Develop and execute the data engineering strategy.
• Design and improve the data storage and processing architecture.
• Ensure the delivery of scalable, high-quality data pipelines.
• Partner with other teams to ensure data accessibility and quality.

Skills

Medallion architecture

Databricks

ETL tools

Machine Learning

Python

Cloud platforms (AWS, Azure, GCP)

Job description

A leading airport service provider in Manchester is looking for a Head of Data Engineering to lead their data leadership team. You will shape the centralized data engineering function and ensure platforms and architecture are robust. The position requires strong experience in modern data engineering practices, specifically with Databricks and team leadership. This is an opportunity to innovate and enhance data infrastructure in a dynamic environment.