
Posted 5 days ago
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**Data Engineer (Temporary) Role:** Maintain and enhance Azure and Microsoft Fabric data platform for a resource-recovery and energy-generating operator in Greater London (3-6 month contract). responsibilities include designing, optimizing pipelines, integrating on-premises SQL Server, ingesting plant/asset data, building APIs, and supporting secure connectivity. Required skills: Strong Azure (Synapse, Storage, Logic Apps), Microsoft Fabric, Python, SQL Server integration, API, real-time data sources, and experience working in complex, regulated environments.
- Compensation
- £400 – £500 GBP
- City
- London
- Country
- United Kingdom
Currency: £ (GBP)
Full Job Description
Data Engineer Temporary
Initial 3-6 month | Greater London | Hybrid
400-500 per day (umbrella)
We are hiring an experienced Data Engineer for a 3-6 month fixed-term contract with a regulated resource-recovery and energy-generation operator in Greater London.
You will maintain and improve the operational data platform that moves plant, asset and business data from on-premises systems into Microsoft Azure and Microsoft Fabric. The work underpins reporting, regulatory submissions and internal BI. Roughly 60% is BAU support and enhancement; 40% is project work including data transformation and digital tracking initiatives.
What youll do
- 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
What youll need
- Solid commercial Data Engineer experience in a complex operational environment
- Hands-on Azure: Synapse, Storage, Logic Apps, data integration
- Strong Microsoft Fabric: warehousing, lakehouse, pipelines, security
- Strong Python
- On-prem SQL Server to cloud integration
- APIs, real-time / event-driven sources
- Networking and secure data movement in controlled environments
- Ability to work independently with Data, IT and operational stakeholders




