Head of Data Engineering

Careerwise
London, UK
22 days ago
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Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Compensation
£161,011.0
Working hours
Regular working hours

Tech stack

Microsoft Azure Software as a Service Cloud Database Continuous Integration Data Architecture Information Engineering Data Governance Data Infrastructure Data Warehousing DevOps Power BI Kusto Query Language
+10 more
Salesforce.Com Systems Integration Enterprise Software Applications Apache Spark Git Microsoft Fabric Pyspark Data Management Software Version Control Data Pipelines

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

  • Drive implementation across OneLake, Lakehouses, Warehouses, Pipelines, Dataflows Gen2 and Spark

  • Establish modern medallion architecture - Bronze, Silver & Gold

  • Lead data engineering teams across development, testing, release and operations

  • Implement CI/CD, Git/source control and DevOps practices

  • Drive data governance, security, lineage and access controls

  • Optimise Fabric workloads, performance and capacity/cost management

  • Integrate data from multiple enterprise platforms and SaaS applications

  • Establish sustainable BAU operating models, engineering cadence and ways of working

  • 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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