Head of Data Engineering
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Role details
Tech stack
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Job description
I’m currently looking for an experienced Head of Data Engineering/Data Engineering Leader to lead an enterprise data engineering function and drive the delivery and operationalisation of a modern Microsoft Fabric data platform., * Lead the enterprise Microsoft Fabric data engineering strategy and roadmap
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Drive implementation across OneLake, Lakehouses, Warehouses, Pipelines, Dataflows Gen2 and Spark
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Establish modern medallion architecture - Bronze, Silver & Gold
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Lead data engineering teams across development, testing, release and operations
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Implement CI/CD, Git/source control and DevOps practices
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Drive data governance, security, lineage and access controls
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Optimise Fabric workloads, performance and capacity/cost management
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Integrate data from multiple enterprise platforms and SaaS applications
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Establish sustainable BAU operating models, engineering cadence and ways of working
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Support knowledge transfer and ensure a smooth transition into the established operating model
Requirements
- Senior-level Data Engineering/Data Platform leadership experience
- Strong Microsoft Fabric implementation experience
- Excellent Azure/cloud data engineering background
- Experience leading engineering teams and technical delivery
- Strong understanding of data architecture, modelling, and modern lakehouse patterns
- Experience with DevOps, CI/CD and production platform operations
- Strong stakeholder management and communication skills
- Experience establishing or transitioning data platforms into BAU
Technology Environment:
| Microsoft Fabric | OneLake | Lakehouse | Data Warehouse | Data Pipelines | Dataflows Gen2 | Spark/PySpark | KQL | Power BI | Microsoft Purview | Entra ID | Azure | Git | CI/CD |
Experience integrating enterprise applications such as Salesforce, ERP, HR, Finance and other SaaS platforms would be highly beneficial.
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