At a Glance
- Tasks: Design and build scalable data pipelines using Microsoft Fabric for impactful analytics.
- Company: Join a leading automotive brand transforming their data platform.
- Benefits: Competitive pay, potential for extension, and collaboration with top talent.
- Other info: Dynamic role with opportunities for growth and innovation.
- Why this job: Be at the forefront of enterprise transformation and work with cutting-edge technology.
- Qualifications: Experience as a Data Engineer with expertise in Microsoft Fabric and Azure data stack.
The predicted salary is between 60000 - 80000 £ per year.
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.
Senior Data Engineer employer: Aspire Technology
Join a forward-thinking automotive brand that is at the forefront of data innovation, where your contributions as a Senior Data Engineer will directly influence a transformative data platform. With a collaborative work culture that values hands-on engineering and offers ample opportunities for professional growth, you will be part of a dynamic team driving impactful analytics and AI initiatives. Located in a vibrant area, this role not only promises exciting challenges but also the chance to extend your career within a leading enterprise environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Microsoft Fabric or in automotive. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your hands-on experience and how you can deliver real impact at enterprise scale.
✨Tip Number 3
Get involved in relevant communities! Join forums or groups focused on Azure and data engineering. Engaging with others can lead to job leads and valuable advice from those who've been in your shoes.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about landing that Senior Data Engineer role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Microsoft Fabric and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our transformation project. Keep it engaging and relevant to the role.
Showcase Your Projects:If you've built any data pipelines or worked on cloud platforms, make sure to showcase these in your application. We love seeing real examples of your work that demonstrate your hands-on expertise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at Aspire Technology
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric and the Azure data stack. Brush up on your knowledge of building end-to-end data pipelines and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Collaboration Skills
This role involves working closely with engineering and analytics teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experience you have with GitHub workflows and version control best practices.
✨Demonstrate Your Problem-Solving Abilities
Be ready to tackle hypothetical scenarios or case studies during the interview. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to data quality and governance.
✨Stay Updated on AI Trends
Since the role involves exploring automation and AI development approaches, it’s a good idea to familiarise yourself with current trends in AI-assisted engineering. Bring up any relevant experiences or insights you have during the conversation.
