Data Engineer (Microsoft Azure / Fabric / M365 / Power BI) - Investment Management On behalf of a fast-moving, innovative alternative investment manager, we are hiring a hands-on Data Engineer Engineer to build, run, and improve its cloud-based data and infrastructure platforms across Microsoft Azure, Microsoft Fabric, and Microsoft 365. This role blends data engineering and cloud operations, supporting business-critical functions including trading, risk, and investor reporting. Responsibilities: Data Platform Engineering Build and operate Fabric Dataflows, Pipelines, and Lakehouses (internal & third-party ingestion) Support bronze / silver / gold data architecture and business-ready models Develop and optimise semantic models for Power BI and analytics Monitor pipelines, performance, and data quality; maintain documentation and lineage Azure & M365 Platform Operations Administer and optimise Azure AD, networking, compute, and security Manage Azure Storage / ADLS Gen2 / Data Lake environments Oversee Azure–M365 integrations (SharePoint, Exchange Online, Teams, compliance) Improve resilience, access management, DR, monitoring, automation, and cost optimisation Stakeholder & Operational Support Translate business requirements into data and reporting solutions Support users with dashboards and troubleshooting Own incident response and root cause analysis across data and cloud services Skills & Experience: Essential: 3–6 years’ experience in data engineering and cloud operations within Investment Management Strong Microsoft Fabric (Lakehouses, Dataflows, Pipelines, semantic modelling) Microsoft 365 administration (SharePoint, Exchange, Teams) Familiarity with Azure Data Factory, governance, security, and compliance Desirable Azure infrastructure (AD, networking, compute, security) Azure Storage / ADLS Gen2 experience PowerShell or Python automation Power BI and Azure DevOps (CI/CD, IaC) Financial data domain knowledge (trades, positions, risk, performance) Exposure to AI/automation tools (Copilot, ChatGPT, Claude) If you’re a Microsoft-stack Data Engineer Engineer who enjoys owning reliability and improving cloud and data platforms end-to-end, please apply with your CV. JobServe Keywords: Microsoft Fabric, Azure, Azure AD, ADLS Gen2, Data Lake, Power BI, Semantic Models, Dataflows, Pipelines, Lakehouse, Microsoft 365, Exchange Online, SharePoint, Teams, Azure Data Factory, Azure DevOps, CI/CD, IaC, PowerShell, Python, Financial Services.