Senior Data Engineer - Outside IR35 - Hybrid
Overview
We are seeking an experienced Senior Azure Data Engineer to design and deliver an end-to-end Azure-based data warehouse for a wealth management firm undergoing a large-scale digital and data transformation. The role will involve leading the engineering of a scalable data platform, integrating multiple data sources, and enabling both batch and Real Time data consumption.
Key Responsibilities
Lead the design and delivery of an end-to-end Azure data warehouse.
Implement Bronze/Silver/Gold medallion architecture.
Build batch and incremental ETL/ELT pipelines.
Integrate data from files, APIs, and databases.
Design dimensional models (Kimball star schemas) including SCD Type 2.
Implement Master Data Management concepts such as entity resolution and golden records.
Develop REST APIs to support Real Time data access.
Define integration patterns and document architectural decisions (ADRs).
Implement data quality checks, validation, and exception reporting.
Apply partitioning strategies and performance optimisation techniques.
Work with architects, product owners, and business stakeholders to deliver scalable solutions.
Required Skills
Azure Data Lake/Blob Storage
Azure SQL Database
Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Functions
Dimensional modelling and enterprise data warehouse design
Batch and incremental data pipelines
File-based ingestion (CSV/XLS) and database replication strategies
REST API development for data access
Data quality and reconciliation frameworks
Security: Azure RBAC, Managed Identities, Key Vault, row-level security, PII handling
DevOps practices including Git, Infrastructure as Code (Terraform/ARM), and CI/CD pipelines
Experience
5+ years building data platforms on Azure.
Proven experience delivering end-to-end data warehouse solutions as a lead engineer.
Financial services experience preferred.
To apply for this role please submit your CV or contact Dillon Blackburn (see below)
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