We are looking for an experienced Senior Data Warehouse Engineer to lead the design and delivery of an end-to-end data warehouse on Azure for a wealth management firm undergoing a major digital and data transformation.

You will take ownership of the data platform architecture, ingestion pipelines, dimensional models, and API layer, delivering a scalable Bronze/Silver/Gold medallion architecture and establishing best practices for data engineering and DevOps.

Azure Stack

• Azure Blob Storage / ADLS

• Azure SQL Database

• Azure Data Factory (ADF)

• Azure Synapse Analytics

• Azure Functions

Data Warehouse Delivery

• Delivered end-to-end DWH as a lead engineer (source integration ? dimensional models ? API layer)

• Designed and implemented Bronze/Silver/Gold medallion architecture

• Made architectural decisions and produced Architecture Decision Records (ADRs)

Data Engineering & Modelling

• Dimensional modelling (Kimball), star schemas

• SCD Type 2

• MDM concepts (entity resolution, golden records)

• Batch & incremental ETL/ELT pipelines

• File-based ingestion (CSV/XLS) with error handling

• SQL Server replication (snapshot/delta strategies)

Performance & Access

• Partitioning strategies (date/size-based)

• REST APIs for real-time data queries and response optimisation

Quality & Security

• Source-to-target validation and exception reporting

• Azure RBAC, Managed Identities, Key Vault

• Row-level security, PII handling, audit trails

DevOps

• Git workflows

• Infrastructure as Code (Terraform / ARM)

• CI/CD pipelines

To apply for this role please submit your CV or contact Dillon Blackburn on or at .

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