Engineering Manager

We are looking for an experienced Engineering Manager (Data) to lead the design, build, and evolution of a modern enterprise data platform that underpins advanced analytics, AI, and data-driven decision making. This is a highly technical, hands-on leadership role. You'll combine deep data engineering expertise with team leadership, helping to define architecture, establish engineering standards, and build scalable data products that serve both internal stakeholders and external customers.

Reporting to the Head of Engineering, you will act as the senior technical authority for data engineering while mentoring and growing a team of engineers in a rapidly evolving technology environment. As Engineering Manager , you will be responsible for designing and delivering a modern data platform. You'll work across data ingestion, transformation, storage, governance, and consumption layers, ensuring the platform is secure, scalable, and capable of supporting future AI and automation initiatives.

This role offers a unique opportunity to influence both technical strategy and hands-on delivery while building a high-performing engineering capability.

Key Responsibilities Data Engineering & Platform Development Design, build, and optimise data pipelines supporting a modern medallion architecture. Develop and maintain scalable ETL/ELT solutions across ingestion, transformation, storage, and serving layers. Build and support data platform capabilities using Microsoft technologies, including SQL-based environments and modern cloud data services. Implement robust security, tenancy isolation, and performance controls across platform components. Develop data products and APIs that support analytics, integrations, AI solutions, and emerging intelligent applications.

Work closely with wider data teams to ensure mastered and governed data is effectively modelled and delivered. Technical Leadership Translate architectural vision into practical engineering standards and best practices. Lead design reviews, code reviews, and technical decision-making. Establish and enforce standards for data quality, observability, lineage, and governance. Serve as the senior technical mentor for the data engineering team. Provide direction and oversight for database administration and operational support activities.

Team Leadership Manage, coach, and develop data engineers, fostering a culture of continuous improvement. Set objectives, monitor performance, and support professional development. Collaborate effectively within a blended team structure that includes both internal and external delivery partners. Drive accountability through clear performance metrics and outcomes. Delivery & Collaboration Partner with Product, Architecture, and Engineering teams to deliver data-as-a-product capabilities. Work with development teams and third-party partners to ensure solutions are delivered consistently and to agreed standards.

Contribute to technical strategy, roadmap planning, estimation, and delivery forecasting. Essential Experience Significant hands-on data engineering experience in a technical leadership role. Strong expertise in modern data platforms, including data pipelines, ETL/ELT, data warehousing or lakehouse architectures, SQL, Python, and orchestration frameworks. Proven experience building and operating medallion architecture platforms (Bronze, Silver, Gold). Strong experience with Microsoft-based data technologies, including SQL Server and cloud-native data services.

Experience implementing data quality, lineage, monitoring, and observability frameworks. Good understanding of master data management concepts and enterprise data modelling. Demonstrated success leading, mentoring, and coaching engineering teams. Experience operating within hybrid internal and outsourced delivery environments. This is a hybrid working role with 3 days per week required on site in Glasgow, with free parking available. Salary is up to £80,000 plus benefits which includes an enhanced pension contribution.

If you're passionate about building scalable data platforms, setting engineering standards, and leading teams through the next generation of data and AI transformation, we'd love to hear from you.