Head of Data Engineering

Responsibilities

We are representing a confidential client in the marketing technology sector who is seeking a Head of Data Engineering to lead their established team in Manchester. This is a hybrid role based in their Manchester office.

In this position, 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, prioritised 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 the Data Strategy and 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 the performance, reliability and efficiency of the data capability, including the use of emerging technologies

What We're Looking For

Required qualifications and experience:

• 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 (experience within the Microsoft data ecosystem would be advantageous)
• 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 and approaches 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 the ability to explain technical decisions, risks and trade-offs to both technical and non-technical audiences

Nice to have:

• 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

How We Work With You

Our talent team at Get A Job.ai partners with leading organizations to connect exceptional candidates with opportunities that match their skills and career goals. When you apply through our platform, a dedicated recruiter will review your application and conduct an initial screening. If there's a strong match, we will submit your profile to our client for consideration. Please note that all applications must come through Get A Job.ai—do not contact the client directly.

Pay

Pay via Get A Job.ai: £90,000 OTE

Equal Employment Opportunity: Get A Job.ai is committed to fostering an inclusive recruitment process. We evaluate all candidates based on qualifications and merit, and we encourage applications from individuals of all backgrounds.