Senior Data Engineer, Microsoft Fabric
Role summary
Zenith Row seeks a Senior Data Engineer for a high-growth technology consulting organization. This client-facing role involves transforming fragmented data landscapes into structured, governed analytics platforms using Microsoft Fabric and the Azure data stack. Responsibilities span the full lifecycle from discovery and architecture to delivery, including building ETL/ELT pipelines, integrating data across environments, and producing client-ready documentation. The position requires strong SQL, end-to-end data engineering experience, and proven ability in client-facing environments.
Zenith Row has partnered with a high-growth technology consulting organisation to hire a Senior Data Engineer supporting multi-client data transformation engagements.
This is not a traditional engineering role.
You’ll operate as a client-facing consultant, helping organisations move from fragmented, unclear data landscapes → structured, usable, and governed analytics platforms.
You’ll work across the full lifecycle, from discovery and architecture through to delivery, often leveraging Microsoft Fabric and the Azure data stack.
The Role
This is a multi-client, consulting-led position, not a single long-term project.
You’ll work across discovery → design → implementation, owning both technical delivery and stakeholder engagement.
Client Delivery (Core)
- Lead discovery sessions to understand data sources, pipelines, dashboards, and decision workflows
- Identify data silos, quality issues, and gaps and define improved future-state architecture
- Build and deliver ETL/ELT pipelines and transformations
- Integrate data across on-prem and cloud environments
- Deliver analytics outputs (e.g. dashboards) aligned to business needs
Consulting & Communication
- Engage directly with technical teams and senior stakeholders (including exec level)
- Translate ambiguous business problems into clear technical solutions
- Produce client-ready outputs (architecture docs, data flows, implementation plans)
Internal Contribution
- Support effort estimation, project planning, and SOW inputs
- Optional involvement in Azure/Fabric community sessions or client-facing events
What We’re Looking For
Core Requirements
- 5+ years in Data Engineering (end-to-end delivery)
- Strong experience designing and delivering ETL/ELT pipelines
- Solid SQL foundation across data platforms
- Experience working with modern data platforms and adapting across tools
- Proven ability to operate in client-facing environments
- Strong written communication, able to deliver client-ready documentation
Preferred Experience
- Microsoft Fabric
- Azure Data Factory
- Power BI (or Tableau / equivalent)
- Databricks (highly transferable)
- Data architecture artifacts (data flows, solution design)
- Exposure to data governance concepts
Nice to Have
- Python (Spark / modern data workloads)
- CI/CD and automation
- Broader Azure ecosystem knowledge (eventing, security, integration)
