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.