Data Engineering Manager

This is a high-impact Analytics Engineering Manager role focused on building and scaling a data platform that underpins critical product and business decisions. You will lead a team while shaping a modern data environment operating at significant scale, with a strong emphasis on reliability, performance and trust in data. The Company They are a large-scale digital business with a strong data-driven culture at the core of decision making. Operating a complex data ecosystem with high volumes of daily data processing, they invest heavily in building a robust and scalable data foundation. Data is treated as a product, with clear ownership, high engineering standards and a focus on long-term platform evolution. The organisation fosters close collaboration between engineering, analytics and senior leadership to ensure data is a trusted asset across the business. The Role

• Own the end-to-end data platform, including ingestion pipelines, data modelling and warehouse orchestration
• Lead and develop a team of analytics and data engineers, setting standards and supporting growth
• Drive automation across data workflows to improve scalability and efficiency
• Ensure high data quality through monitoring, testing and robust data contracts
• Design and govern a semantic layer to ensure consistent metric definitions
• Optimise warehouse performance and manage cost efficiency at scale
• Establish engineering best practices including CI/CD, version control and code quality standards
• Partner with stakeholders across analytics, product and leadership to align on data strategy and delivery

• Strong experience leading data or analytics engineering teams in a complex environment
• Deep expertise in data warehousing, data modelling and large-scale data processing
• Proven experience with ELT and ETL pipelines and orchestration tools such as Airflow and dbt
• Experience working with modern cloud data platforms such as Snowflake, Databricks or GCP
• Strong understanding of data quality, observability and monitoring practices
• Experience driving cost optimisation within cloud data environments
• Confident communicator, able to translate technical concepts to senior stakeholders
• Track record of balancing leadership, delivery and hands-on technical contribution

• Competitive salary aligned with senior leadership scope
• Opportunity to lead a high-performing data engineering function
• Exposure to complex, high-scale data challenges
• Strong focus on career development and leadership growth
• Collaborative and data-driven working environment