workable
Senior Data Engineer
Sword Group
Glasgow, GBR
Full-time
Senior
Hybrid
Discovered 2 weeks ago
Microsoft AzureAzure Data FactoryAzure SynapseAzure Data LakeAzure SQLMicrosoft Fabric
Free
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Microsoft AzureAzure Data FactoryAzure Synapse
Role Overview
This is a senior, client-facing role with responsibility for shaping, designing, and delivering modern data and AI solutions across a range of client engagements. You will operate across the full lifecycle, from early discovery and requirement gathering through architecture design, hands-on delivery, and ongoing optimisation, using Microsoft Azure, Fabric, Power BI, and AI capabilities.
As a trusted consultant, you will work closely with business and technical stakeholders, influence data and analytics strategy, and help clients realise tangible value from their data investments. The role also includes contributing to pre-sales activities, supporting proposals and solution design, mentoring junior team members, and helping to grow our data and AI consultancy capability.
Key Skills for This Role
Microsoft AzureAzure Data FactoryAzure SynapseAzure Data LakeAzure SQLMicrosoft Fabric
Full Job Posting
About the Role
This is a senior, client-facing role with responsibility for shaping, designing, and delivering modern data and AI solutions across a range of client engagements. You will operate across the full lifecycle, from early discovery and requirement gathering through architecture design, hands-on delivery, and ongoing optimisation, using Microsoft Azure, Fabric, Power BI, and AI capabilities.
As a trusted consultant, you will work closely with business and technical stakeholders, influence data and analytics strategy, and help clients realise tangible value from their data investments. The role also includes contributing to pre-sales activities, supporting proposals and solution design, mentoring junior team members, and helping to grow our data and AI consultancy capability.
Areas of responsibility
- Design and deliver end-to-end data & analytics solutions using Azure, Microsoft Fabric, and Power BI, but not limited to this technology stack
- Act as a trusted advisor, translating business requirements into scalable, secure data architectures
- Lead data engineering and architecture across ingestion, storage, transformation, and analytics layers
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