Senior Data Engineer
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Role details
Tech stack
Job description
You’ll be instrumental in shaping a Microsoft Fabric-powered data platform, building robust pipelines and production-grade data products that drive analytics, reporting, and next-gen AI use cases., * Designing and building end-to-end data pipelines in Microsoft Fabric
- Developing ingestion, transformation, and curated data layers
- Driving GitHub-based workflows and version control best practices
- Collaborating closely with engineering and analytics teams
- Integrating across the Azure data ecosystem
- Contributing to CI/CD pipelines and modern engineering standards
- Championing data quality, governance, and reliability
- Exploring automation and emerging AI/agentic development approaches
Requirements
- Proven experience as a Data Engineer in enterprise environments
- Hands-on expertise with Microsoft Fabric or modern cloud data platforms
- Strong track record building end-to-end data pipelines
- Deep experience across the Azure data stack (Fabric, Data Factory, Synapse, ADLS), * Experience with AI-assisted / agentic engineering workflows
- Exposure to iPaaS tools
- Background in automotive, manufacturing, or industrial sectors
- Experience supporting analytics or AI/ML workloads
- Understanding of data-as-a-product thinking, * Be part of a major enterprise transformation programme
- Work with Microsoft Fabric at scale
About the company
We’re partnering with a leading automotive brand undergoing a major data platform transformation, and we’re looking for four Fabric Data Engineers to be at the heart of it.
If you’re a hands-on engineer who thrives on building modern, scalable data platforms and wants to deliver real impact at enterprise scale, this is one to jump on.
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