Profiles Creative
Senior Data Engineer (Contract) - Azure
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Contract) - Azure, offering a highly competitive day rate for 4-6 months in a London/Hybrid setting. Key skills include Azure Blob storage, SQL, ADF, and experience in Wealth Management data warehousing.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 4, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Storage #REST API #Terraform #Data Warehouse #SQL Server #GIT #Vault #"ETL (Extract #Transform #Load)" #Database Replication #Batch #Infrastructure as Code (IaC) #ADF (Azure Data Factory) #Dimensional Modelling #DevOps #Deployment #REST (Representational State Transfer) #Security #CRM (Customer Relationship Management) #SQL (Structured Query Language) #Azure Databricks #API (Application Programming Interface) #Synapse #Dataverse #Azure Blob Storage #MDM (Master Data Management) #Replication #Data Engineering #Databricks #BI (Business Intelligence) #Azure #Microsoft Power BI
Role description
I am looking for 2 x Senior Data Engineers for a 4-6 month contract. Working with a cutting-edge consultancy within the Financial Services (Wealth Management) space – we need a team to build an end-to-end data warehouse in Azure.
Expertise in Azure Blob storage, SQL database, ADF, Azure functions, Synapse needed.
Highly competitive day rate on offer – Depending on experience
London/Hybrid
Experience needed:
• Azure stack - Blob Storage, SQL Database, ADF, Synapse Analytics, and Azure Functions.
• Delivered end-to-end DWH (source integration, dimensional models, API layer) as a lead engineer.
• Designed and built Bronze/Silver/Gold medallion architecture in Azure.
• Made architectural decisions (source integration patterns, API design, dimensional models) and created ADRs.
• Dimensional modelling (Kimball star schemas), SCD Type 2, MDM (entity resolution, golden records).
• Batch + incremental ETL/ELT pipelines.
• File-based integration (CSV/XLS ingestion, error handling).
• Database replication (SQL Server snapshot/delta strategies).
• Partitioning strategies (date-based, size-based) for query optimisation.
• REST APIs for real-time data queries with response optimisation.
• Source-to-target validation, exception reporting, quality frameworks.
• Security implementation: Azure RBAC, managed identities, Key Vault, row-level security, PII handling, audit trails.
• DevOps best practices: Git, IaC (Terraform/ARM), CI/CD deployment.
Nice to have:
• Dataverse
• Real-time data delivery (streaming)
• Experience in Wealth & Asset Management
• Experience in Curo CRM, SS&C Hubwise
• Azure Databricks (if preferred over Synapse)
• Power BI Premium/Fabric
I am looking for 2 x Senior Data Engineers for a 4-6 month contract. Working with a cutting-edge consultancy within the Financial Services (Wealth Management) space – we need a team to build an end-to-end data warehouse in Azure.
Expertise in Azure Blob storage, SQL database, ADF, Azure functions, Synapse needed.
Highly competitive day rate on offer – Depending on experience
London/Hybrid
Experience needed:
• Azure stack - Blob Storage, SQL Database, ADF, Synapse Analytics, and Azure Functions.
• Delivered end-to-end DWH (source integration, dimensional models, API layer) as a lead engineer.
• Designed and built Bronze/Silver/Gold medallion architecture in Azure.
• Made architectural decisions (source integration patterns, API design, dimensional models) and created ADRs.
• Dimensional modelling (Kimball star schemas), SCD Type 2, MDM (entity resolution, golden records).
• Batch + incremental ETL/ELT pipelines.
• File-based integration (CSV/XLS ingestion, error handling).
• Database replication (SQL Server snapshot/delta strategies).
• Partitioning strategies (date-based, size-based) for query optimisation.
• REST APIs for real-time data queries with response optimisation.
• Source-to-target validation, exception reporting, quality frameworks.
• Security implementation: Azure RBAC, managed identities, Key Vault, row-level security, PII handling, audit trails.
• DevOps best practices: Git, IaC (Terraform/ARM), CI/CD deployment.
Nice to have:
• Dataverse
• Real-time data delivery (streaming)
• Experience in Wealth & Asset Management
• Experience in Curo CRM, SS&C Hubwise
• Azure Databricks (if preferred over Synapse)
• Power BI Premium/Fabric
