4 of 4 Remote/Hybrid Business Intelligence Jobs in Cambridge

opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science and leadership teams … design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead a wider data function. Key Responsibilities Design, build and maintain scalable data platforms ...

engineering standards, improving documentation and implementing data governance practices Ability to review technical solutions, challenge engineering approaches and guide other developers Exposure to Power BI and enterprise ERP environments would be beneficial Role Details: Job Role: Data Engineering Lead Contract: 3 months initial (view to extension) Location: Hybrid – 3 days ...

engineering standards, improving documentation and implementing data governance practices Ability to review technical solutions, challenge engineering approaches and guide other developers Exposure to Power BI and enterprise ERP environments would be beneficial Role Details: Job Role: Data Engineering Lead Contract: 3 months initial (view to extension) Location: Hybrid – 3 days ...

will be involved in everything from developing robust data pipelines and secure data services through to enabling machine learning capabilities and delivering trusted business intelligence. For engineers who enjoy solving complex data challenges, building sophisticated data platforms and working at the forefront of AI innovation, this role offers … engineering solutions. Building and optimising data infrastructure to support advanced analytics, machine learning, statistical models and AI applications. Creating trusted analytics, reporting and business intelligence solutions. Designing and managing secure, reliable data services and APIs. Establishing best practices across data quality, governance, lineage, metadata and observability. Embedding security ...