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.