Senior Data Engineer

Aspire Technology; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Aspire Technology is looking for four Fabric Data Engineers in Greater London to join a major data platform transformation. You will design and build data pipelines using Microsoft Fabric while collaborating with engineering and analytics teams to ensure data quality and governance. This role involves end-to-end platform engineering, driving GitHub-based workflows, and contributing to the Azure data ecosystem. Ideal candidates will have proven experience in enterprise environments and strong expertise with modern cloud data platforms.

Qualifications

• Experience as a Data Engineer in enterprise environments.
• Hands-on expertise with Microsoft Fabric or modern cloud data platforms.
• Strong record building end-to-end data pipelines.
• Deep experience across the Azure data stack.

Responsibilities

• Design and build end-to-end data pipelines in Microsoft Fabric.
• Develop ingestion, transformation, and curated data layers.
• Drive GitHub-based workflows and version control best practices.
• Collaborate closely with engineering and analytics teams.
• Integrate across the Azure data ecosystem.
• Contribute to CI/CD pipelines and modern engineering standards.
• Champion data quality, governance, and reliability.

Skills

Data Engineering

Microsoft Fabric

Azure Data Stack

Building Data Pipelines

Tools

Data Factory

Synapse

ADLS

Job description

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.

The opportunity

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.

This isn’t BAU. This is end‑to‑end platform engineering with real influence.

The role

• 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

What we’re looking for

• 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)

Nice to have

• 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

Why this role?

• Be part of a major enterprise transformation programme
• Work with Microsoft Fabric at scale
• Collaborate with high‑performing engineering and business teams
• Strong likelihood of extension beyond the initial 6 months

Interested?

Cam Dalziel leads Aspire’s data and AI contract practice across Europe, partnering with top‑tier talent and clients to deliver high‑impact teams. Apply today or reach out to Cam for a confidential discussion about the role - [e-mail].