8 of 8 Lakehouse Jobs in the West Midlands

Experience defining enterprise architecture principles, standards and target architectures. Practical understanding of different data architecture paradigms and styles, including Data Warehouse, Data Lake, Data Lakehouse, etc. Understanding of Data Mesh concepts and federated approaches to data ownership and reuse. Experience with integration, interoperability, APIs and reusable data services. Experience ...

principles and best practices. Benefits Meaningful ownership of cloud data engineering work that supports transportation, logistics and digitally enabled services. Technical scope across ingestion, lakehouse design, governance, data products and AWS platform optimisation rather than a narrowly defined pipeline remit. Exposure to analytics, machine learning and emerging AI initiatives ...

forProven experience leading and developing high-performing Data Engineering teams within a complex organisation. Strong expertise in Azure Databricks, cloud data platforms and modern lakehouse architectures. Deep understanding of data engineering best practices, including ETL/ELT, data pipelines, orchestration and data product delivery. Experience embedding data governance, quality ...

absolutely right and when a pragmatic solution is appropriate. These aren't essential, but would be advantageous: Experience with Microsoft Fabric , particularly lakehouse’s, notebooks and pipelines. Python experience for automation or data movement. Experience implementing row-level security , particularly within multi-tenant or customer-facing reporting. Experience mentoring ...

Doing Take technical ownership of the Microsoft Fabric environment, helping shape its ongoing development, architecture and roadmap. Design, develop and optimise data pipelines, lakehouse and warehouse solutions to support reliable data delivery. Build and maintain scalable data models, semantic layers and reporting solutions. Work extensively with SQL, Python … Azure data technologies. Advanced SQL skills, including data transformation, modelling and query optimisation. Experience using Python for data engineering and automation. Good understanding of lakehouse and data warehouse architectures. Experience developing and maintaining data pipelines and orchestration processes. Knowledge of Power BI, including semantic models, DAX and reporting. Experience ...

We are seeking an experienced Enterprise Data Architect to define and lead the organisation's target-state data architecture, ensuring our data landscape supports business growth, operational excellence, regulatory compliance, and future AI-driven innovation.This ...

We are seeking an experienced Enterprise Data Architect to define and lead the organisation's target-state data architecture, ensuring our data landscape supports business growth, operational excellence, regulatory compliance, and future AI-driven innovation. ...

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