Senior Data Engineering Manager

Overview

In this role you lead Verys data engineering function, guiding strategy and people across a growing team of engineers and analysts. You will shape the future of the data platform, drive modern engineering practices, and ensure secure, scalable data products that empower cross-functional decision-making.

You collaborate with Architecture, Product and Technology leaders to balance long-term goals with delivering immediate value. This is a high-impact role at the intersection of data, product and business strategy, offering influence over a large data ecosystem and a chance to attract top talent.

Pay / Benefits

• Flexible, hybrid working model
• Flexible benefits allowance (10,000)
• 30 days holiday + bank holidays
• LinkedIn Learning access
• Bonus potential (performance and business-related)
• Up to 25% discount on Very.co.uk

Responsibilities

• Lead and develop multiple Data Engineering Managers and Lead Engineers within a ~40-person data and analytics cohort
• Define and drive the data engineering strategy, architecture direction and platform modernization roadmap
• Oversee delivery of secure, scalable data products in collaboration with business domains
• Foster a culture of trust, accountability and continuous improvement; remove obstacles and empower engineers
• Attract, retain and develop diverse, high-performing engineering talent
• Govern technical debt, implement modern engineering practices, and balance long-term strategy with current value
• Build strong cross-functional partnerships with Architecture, Product and stakeholders to translate priorities into engineering outcomes
• Ensure multi-cloud and enterprise data environment capabilities meet business needs and compliance requirements

Key requirements

• Significant experience leading large-scale data engineering organisations in modern tech environments (AWS, Teradata, Fivetran, Power BI)
• Track record of building, developing and inspiring high-performing engineering teams
• Experience delivering data platforms, pipelines and products at scale
• Hands-on background in Data Engineering with modern engineering practices
• Experience in Agile, DevSecOps and product-led delivery environments
• Ability to balance strategic thinking with operational delivery
• Strong stakeholder management and senior-level influencing skills
• Experience managing technical debt, roadmaps and platform modernization
• Coaching and mentoring others
• Experience with AWS and cloud-based data platforms; Teradata, Fivetran and modern data integration tooling
• Business Intelligence and analytical engineering capabilities
• Experience in multi-cloud or complex enterprise data environments
• Background in Retail, eCommerce, Financial Services or data-rich organisations
• strong stakeholder management
• coaching and mentoring
• influence at senior levels
• AWS
• Teradata
• Fivetran

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