Senior Business Intelligence Engineer

About the role

VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML's specialist health network, VML Health, is one of the world's largest and most awarded health agencies. VML's global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney. About WPP WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com . We are seeking a highly capable Senior Business Intelligence Engineer to lead the delivery of business-critical analytics used by hundreds of stakeholders globally across a large listed organisation. This role is responsible for architecting scalable, resilient, and modern data solutions across fragmented and complex source systems, while delivering high-quality analytics, reporting, and insight capabilities that support strategic decision-making across the business. The position sits within the Business Operations & Transformation team, where data and analytics are viewed as a key strategic enabler for driving operational alignment, commercial focus, and organisational transformation. The ideal candidate will combine strong technical expertise with commercial and financial acumen, and will be comfortable engaging senior stakeholders across Finance, Commercial, Operations, Business Development and Technology functions. This is an opportunity to play a leading role in elevating WPP Creative's strategic analytics capability.

Responsibilities

• Architect and oversee scalable end-to-end data pipelines across fragmented and heterogeneous source systems.
• Design and implement robust ETL/ELT frameworks and modern lakehouse architectures.
• Build and maintain enterprise-grade data platforms, including ingestion pipelines, data warehousing, semantic models, and reporting layers.
• Deliver high-quality analytics, dashboards, and self-service reporting solutions using Power BI and Microsoft Fabric.
• Enable advanced analytics, automation, and data transformation using Python and SQL.
• Partner closely with Finance, Commercial, Operations, Business Development, and Enterprise Technology teams.
• Act as a trusted advisor to senior leadership, translating strategic business priorities into data and analytics solutions.
• Provide insightful analysis, recommendations, and performance reporting to support optimisation and decision-making.
• Develop and govern additional data collection practices to improve data availability and accessibility.
• Implement and maintain Row-Level Security (RLS) and data access controls across enterprise reporting and analytics solutions.
• Establish and promote governance, standards, and best practices for data quality, security and analytics delivery.
• Develop reusable semantic models.
• Support both strategic initiatives and ad-hoc analytical deep dives across operational and financial datasets.
• Drive adoption of data-driven decision-making across the organisation.
• Build strong relationships with technical and non-technical stakeholders across a matrix organisation.
• Contribute to the ongoing evolution of the organisation's BI and data strategy.

Requirements

• Essential Experience:
• Strong understanding of the modern data stack, including data modelling, warehousing, and large-scale ETL/ELT pipeline development.
• Proven experience architecting and managing complex enterprise data pipelines across fragmented systems.
• Deep expertise in:
• Databricks
• Microsoft Fabric
• Power BI
• SQL
• Python
• Strong understanding of modern cloud data architecture principles, including lakehouse and medallion architectures.
• Experience developing enterprise dashboards and self-service analytics capabilities.
• Strong business analysis skills with the ability to translate operational and financial challenges into technical and analytical solutions.
• Comfortable analysing and interpreting financial, commercial, and operational datasets.
• Experience operating within complex, matrixed, and transf

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