Engineering Manager, Data Platform & AI

MAC Recruit Group Ltd; Glasgow; Hybrid; GBP 72,000 - 88,000; Full time

Benefits offered by this job

Free parking

Enhanced pension contribution

Job summary

MAC Recruit Group Ltd seeks an Engineering Manager (Data) to lead the design, build and evolution of a modern enterprise data platform underpinning analytics, AI and data-driven decision making. This hybrid role requires three days on site in Glasgow and offers a path to shape engineering standards while delivering scalable data products.

The role combines hands-on leadership with deep data engineering expertise, mentoring a team, influencing architecture, and driving governance across

Qualifications

• Extensive hands-on data engineering leadership in enterprise platforms.
• Experience with medallion architecture (Bronze/Silver/Gold).
• Strong knowledge of SQL, Python, and modern cloud data services.
• Experience designing data governance, quality, and observability frameworks.
• Proven ability to mentor and develop data engineers.

Responsibilities

• Design, build, and optimise data pipelines for a medallion architecture.
• Define architecture, engineering standards, and best practices.
• Lead design reviews and technical decision-making.
• Grow and manage a team of data engineers.
• Collaborate with product, architecture, and engineering teams to deliver data-as-a-product capabilities.
• Ensure security, tenancy isolation, and performance controls.

Skills

Data leadership

Mentoring

Architectural design

Data governance

Cross-functional collaboration

Education

Bachelor's degree in a relevant field

Data engineering certification

Tools

SQL Server

Azure

Databricks

Snowflake

Python

Airflow

ETL/ELT

Job description

MAC Recruit Group Ltd seeks an Engineering Manager (Data) to lead the design, build and evolution of a modern enterprise data platform underpinning analytics, AI and data-driven decision making. This hybrid role requires three days on site in Glasgow and offers a path to shape engineering standards while delivering scalable data products.

The role combines hands-on leadership with deep data engineering expertise, mentoring a team, influencing architecture, and driving governance across