Senior Manager, Data Engineering & Tooling

Senior Manager, Data Engineering & Tooling

Application Deadline: 26 January 2026

Department: Data Management Office

Employment Type: Permanent

Location: London

Description

Location: Sheffield/London/Hybrid
Working 2 days per week in the office

Contract: Permanent

Hours: Full time 37.5 hours per week

Salary: Band G: up to £65,000 (Sheffield) or up to £77,500 (London) depending on experience

THE ROLE

The purpose of the role is to ensure tooling platforms are scalable, secure, and aligned with enterprise architecture and governance standards. You will also lead triage and change management processes to support both internal Data & Analytics and external enterprise requirements. You will be responsible for developing and managing a suite of enterprise data tooling capabilities to ensure that:

• Data platforms and tools are operationally effective, scalable, and aligned with strategic architecture and governance standards
• Ingestion, reference data, and observability capabilities are integrated and support trusted, high-quality data delivery
• Tooling processes are responsive to business needs, enabling efficient change management and continuous improvement
• Data engineering infrastructure supports resilience, cost-efficiency, and secure access
• Collaboration across teams drives consistency, reuse, and alignment with enterprise data strategy
• Users are supported through effective tooling, training, and enablement resources
• Leadership is provided to ensure a high-performing and capable team

Experience

To be considered for this role you will have extensive expertise in data management, enterprise data platforms, and cloud-based architectures. This includes a thorough understanding of infrastructure and Microsoft Azure technologies, with hands on experience across PaaS, IaaS, SaaS, and hybrid cloud environments. Familiarity with modern data engineering tools such as SQL, Python/PySpark, ETL/ELT processes, and Power BI is essential, along with experience using Microsoft Azure, Fabric, and related enterprise data tools.

The role involves shaping and implementing standards and strategies for emerging technologies, as well as guiding and supporting data platform teams. Experience with observability and FinOps tooling is desirable. You should be comfortable translating complex data into clear insights, designing effective visualisations for user interfaces and platforms, and providing user support, including developing training materials and enablement channels such as SharePoint or Confluence.

View the full job description. Job Description

Key Benefits

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• 30 days annual leave plus bank holidays, opportunity to buy and sell up to 5 days holiday
• 15% employer pension contribution
• Flexible working
• Cycle to work scheme, healthcare cash plan, Group Income Protection and life assurance
• Paid voluntary days, maternity, paternity, adoption, and shared parental leave
• Benefits designed to suit your lifestyle - from discounts on retail and dining, to health and wellbeing, travel, and technology and plenty more