Head of Data Engineering

Responsibilities

We are representing a confidential media technology organization seeking a Head of Data Engineering to lead an established team through platform modernization and data strategy evolution. In this role, you will:

• Lead, manage and develop the Data Engineering team, building capability, resilience and strong ways of working
• Own the core data platform, architecture, data warehouse and associated pipelines, ensuring solutions are scalable, reliable, maintainable and cost-effective
• Own Data Engineering delivery, ensuring work is appropriately designed, prioritized and delivered to agreed standards
• Establish and embed strong engineering practices across source control, CI/CD, testing, code review, documentation, monitoring and error handling
• Work closely with the wider Data team to translate business priorities into an effective engineering roadmap and delivery plan
• Collaborate with IT, Infrastructure and other engineering teams on architecture, integrations, migrations and platform decisions
• Identify and evaluate opportunities to improve performance, reliability and efficiency of the data capability, including emerging technologies

What We're Looking For

Required qualifications:

• Demonstrable experience leading, developing and managing Data Engineering teams
• Strong track record of designing and delivering enterprise-scale data platforms, solutions and architectures
• Thorough understanding of modern ETL/ELT practices and experience designing scalable, reliable and maintainable data pipelines
• Advanced working knowledge of SQL and Python
• Experience working with modern cloud data platforms such as Microsoft Fabric, Snowflake, Databricks, Redshift or BigQuery
• Strong understanding of modern engineering practices including source control, CI/CD, automated testing, code review, monitoring and observability
• Strong experience of data modelling for reporting and analytics, using tools such as dbt or equivalent
• Strong understanding of data quality, governance, security and data management best practices
• Experience managing engineering delivery using agile ways of working
• Strong communication and stakeholder management skills, with ability to explain technical decisions to both technical and non-technical audiences

Preferred experience:

• Experience integrating data with operational systems, including reverse ETL into platforms such as Salesforce
• Understanding of the Data Science/Machine Learning lifecycle and MLOps
• Experience using Infrastructure as Code approaches and tools such as Terraform or CloudFormation
• Experience within the Microsoft data ecosystem

How We Work with You

When you apply through Get A Job.ai, our talent team will conduct an initial screening to understand your background and career goals. We'll discuss the role requirements, the team structure, and what success looks like in this position. Once we've confirmed mutual interest, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication should flow through our recruiting team to ensure a coordinated and professional process.

Pay

Pay details will be discussed during the screening process with our recruiting team.

This is a hybrid role based in Manchester, England.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work with our clients to ensure fair and equitable recruiting processes.