> Markdown version of [/jobs/ext/2140441-data-engineering-manager](https://www.wearedevelopers.com/jobs/ext/2140441-data-engineering-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering Manager - **Company:** The Clear - **Location:** Sale, UK - **Salary:** £59,760.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Data Architecture, Information Engineering, Data Transformation, Data Systems, Decision Support Systems, Transact-SQL, Data Strategy, Data Analytics, Enterprise Integration, Data Management, Databricks - **Published:** August 20, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5848734865 ## About the Role Proven leadership experience managing and developing Data Engineering or similar technical teams within complex business environments. Extensive experience designing, delivering and supporting enterprise-scale data platforms, pipelines and integration solutions, with a proven track record delivering successful data transformation initiatives. Strong technical expertise in Azure, Databricks, T-SQL and modern cloud-based data technologies, with a solid understanding of data architecture, integration patterns and governance principles. Demonstrated ability to develop technical roadmaps and translate strategic goals into delivery plans, while effectively managing stakeholders, third-party suppliers and multiple data sources. Strong leadership and communication skills, with the ability to inspire, develop and engage both technical and non-technical teams. Proven stakeholder management skills, building trusted relationships and influencing outcomes across all levels of the organisation. A strategic and commercially minded approach, able to translate business objectives into effective technical solutions and priorities. Highly organised and adaptable, with excellent planning, decision-making and problem-solving skills in fast-paced and evolving environments. ## Description Are you an experienced data leader who is passionate about building high-performing teams and delivering modern, scalable data solutions?, We're looking for a Data Engineering Manager to lead our Data Engineering function and play a key role in delivering our data strategy and transformation agenda. This is an exciting opportunity to shape the future of data across the business, driving innovation, enabling data-informed decision making, and ensuring our data platforms and pipelines are secure, reliable and fit for the future. Working closely with the Head of Data & Analytics, you'll provide both strategic direction and hands-on leadership, helping to build a data environment that empowers teams across the organisation to unlock value from data. What we want you to do Lead and evolve the Data Engineering function, ensuring the right people, processes, platforms and capabilities are in place to deliver business value. Own and deliver the Data Engineering roadmap, partnering with senior stakeholders to align priorities with organisational objectives and future growth. Drive the design, delivery and optimisation of scalable, secure and resilient data platforms, pipelines and integrations that enable trusted, data-driven decision making. Provide technical and people leadership, establishing engineering standards and best practices while coaching and developing a high-performing team. Champion innovation, collaboration and continuous improvement, enhancing automation, governance and engineering maturity while fostering strong relationships across business and technology teams. What success in the role looks like Successfully delivering the Data Engineering roadmap against strategic business objectives. Maintaining a resilient, secure and scalable data platform that supports the growing needs of the organisation. Developing a highly engaged and high-performing Data Engineering team with clear succession and development plans. Improving data quality, governance, accessibility and adoption across the business. 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