5 of 5 Remote Azure Storage Jobs in London

Data Architect (Insurance Domain)

Hiring Organisation
Randstad Digital
Location
London, United Kingdom
Employment Type
Permanent, Work From Home
Adword Job Title: Data Architect (Insurance Domain) Location: London UK Hybrid role Responsibilities: Experience Level 15 years with at least 5 years in Azure ecosystem Role: We are seeking a seasoned Data Architect to lead the design and implementation of scalable data solutions for a strategic insurance project … ideal candidate will have deep expertise in Azure cloud services Azure Data Factory and Databricks with a strong understanding of data modeling data integration and analytics in the insurance domain Key Responsibilities Architect and design end to end data solutions on Azure for insurance ...

Data Architect Insurance Domain

Hiring Organisation
Randstad Technologies
Location
London, South East, England, United Kingdom
Employment Type
Full-Time
Salary
£80,000 - £100,000 per annum
Adword Job Title: Data Architect (Insurance Domain) Location: London UK Hybrid role Responsibilities: Experience Level 15 years with at least 5 years in Azure ecosystem Role: We are seeking a seasoned Data Architect to lead the design and implementation of scalable data solutions for a strategic insurance project … ideal candidate will have deep expertise in Azure cloud services Azure Data Factory and Databricks with a strong understanding of data modeling data integration and analytics in the insurance domain Key Responsibilities Architect and design end to end data solutions on Azure for insurance ...

Cloud Platform Engineering Lead / DevOps Lead

Hiring Organisation
KBC Technologies UK LTD
Location
London, South East, England, United Kingdom
Employment Type
Contractor
Contract Rate
Salary negotiable
experience delivering large-scale, fault-tolerant systems and setting SLOs/SLIs. Strong hands-on experience with Terraform and CI/CD tools (Azure DevOps, GitHub Actions, Harness, Jenkins, Spinnaker). Expertise in containers & orchestration (Kubernetes) and service mesh technologies (e.g., Istio). Strong understanding of API design … . Scripting proficiency in Bash, PowerShell, or Python . Cloud Expertise (Depth in one cloud, with willingness to cross-train across others) Azure ARM/Bicep, AKS, Application Gateway, API Management, Azure Storage GCP GKE (Mandatory) , Cloud Load Balancing, Cloud Armor, Istio, Stackdriver, Jenkins ...

Azure Data Engineer - £400PD - Remote

Hiring Organisation
Tenth Revolution Group
Location
London, South East, England, United Kingdom
Employment Type
Contractor
Contract Rate
£300 - £400 per day
Azure Data Engineer - £400PD - Remote Seeking an experienced Data Engineer to design, build, and optimise data solutions within the Microsoft Azure ecosystem. The role focuses on pipeline development, data modelling, governance, and supporting analytics teams with high-quality, reliable data. Key Responsibilities: Develop and maintain scalable … data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. Build efficient ETL/ELT processes and data models to support analytics, reporting, and dashboards. Optimise existing pipelines for performance, reliability, and cost efficiency. Implement best practices for data quality, error handling, automation, and monitoring. Manage data ...

Azure Data Engineer - £400PD - Remote

Hiring Organisation
Tenth Revolution Group
Location
City of London, London, United Kingdom
Employment Type
Contract
Contract Rate
£300 - £400/day
Azure Data Engineer - £400PD - Remote Seeking an experienced Data Engineer to design, build, and optimise data solutions within the Microsoft Azure ecosystem. The role focuses on pipeline development, data modelling, governance, and supporting analytics teams with high-quality, reliable data. Key Responsibilities: Develop and maintain scalable … data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. Build efficient ETL/ELT processes and data models to support analytics, reporting, and dashboards. Optimise existing pipelines for performance, reliability, and cost efficiency. Implement best practices for data quality, error handling, automation, and monitoring. Manage data ...