Azure Data Engineer - Hybrid | 3-6 Month Contract

G Nius; Greater London; Hybrid; GBP 74,000 - 92,000; Full time

Job summary

G Nius is seeking an experienced Data Engineer for a 3-6 month fixed-term contract in Greater London, with hybrid working. The role focuses on maintaining and improving an operational data platform integrating on-prem systems with Microsoft Azure and Fabric to support reporting and regulatory submissions.

The ideal candidate will split time between BAU enhancements and project work, including data transformation and digital tracking initiatives, delivering reliable data pipelines and insights.

Qualifications

• Experience as Data Engineer in a complex operational environment.
• Hands-on with Azure Synapse, Storage, Logic Apps and data integration.
• Proficient with Microsoft Fabric warehousing and lakehouse features.
• Strong Python and on-prem SQL Server to cloud integration.
• Familiar with APIs and real-time / event-driven data sources.

Responsibilities

• Design, run and optimise pipelines into Azure and Fabric
• Support Synapse, Azure Storage, Logic Apps and Fabric warehouse / lakehouse
• Integrate on-prem SQL Server and operational systems with the cloud
• Ingest plant and asset data (weights, volumes, process measurements, vehicle movements, real-time feeds)
• Build and support APIs for internal and external data exchange
• Work with IT/network on secure on-prem to cloud connectivity
• Manage Fabric / Entra access, security groups and privileged access
• Troubleshoot integration and performance issues; keep technical documentation current
• Deliver ad hoc reporting requests and support strategic data projects

Skills

Azure Synapse

Azure Storage

Logic Apps

Python

Microsoft Fabric

APIs

Real-time data

Event-driven

On-prem to cloud

Job description

G Nius is seeking an experienced Data Engineer for a 3-6 month fixed-term contract in Greater London, with hybrid working. The role focuses on maintaining and improving an operational data platform integrating on-prem systems with Microsoft Azure and Fabric to support reporting and regulatory submissions.

The ideal candidate will split time between BAU enhancements and project work, including data transformation and digital tracking initiatives, delivering reliable data pipelines and insights.