Ensure tooling platforms are scalable, secure, and aligned with enterprise architecture and governance standards
Lead triage and change management processes to support both internal Data & Analytics, and external enterprise requirements
Develop and manage a suite of enterprise data tooling capabilities
Ensure data platforms and tools are operationally effective, scalable, and aligned with strategic architecture
Integrate ingestion, reference data, and observability capabilities to support trusted, high-quality data delivery
Enable efficient change management and continuous improvement of tooling processes
Support collaboration across teams for consistency and reuse aligned with enterprise data strategy
Provide leadership to ensure a high-performing and capable team

Requirements

Extensive expertise in data management, enterprise data platforms, and cloud-based architectures
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
Experience using Microsoft Azure, Fabric, and related enterprise data tools
Comfortable translating complex data into clear insights, designing effective visualisations for user interfaces and platforms
Providing user support, including developing training materials and enablement channels such as SharePoint or Confluence

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data managemententerprise data platformscloud-based architecturesSQLPythonPySparkETL processesELT processesPower BIMicrosoft Azure

Soft skills

leadershipcollaborationchange managementcontinuous improvementcommunicationproblem-solvingtraining developmentuser supportdata visualizationstrategic thinking