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For Companies At a Glance
- Tasks: Integrate core business systems into Microsoft Fabric and build scalable data pipelines.
- Company: A growing organisation focused on enhancing its data platform.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team in a scaling environment with exciting future growth potential.
- Why this job: Make a real impact by shaping how data flows and is used across the business.
- Qualifications: Experience with Microsoft Fabric, data integration, and building data pipelines.
The predicted salary is between 60000 - 80000 £ per year.
We’re working with a growing organisation investing heavily in its data platform, with Microsoft Fabric at the centre. They’ve made the initial move but now need someone who has done this properly before – implementing Fabric and integrating multiple systems into a clean, scalable data estate.
This is a hands-on role with real influence over how data is structured, integrated, and used across the business.
The Role
You’ll take ownership of integrating core business systems into a Fabric-led environment, building out reliable, scalable data pipelines and improving how data flows across the organisation. You’ll work closely with stakeholders across IT and the business, shaping how systems connect and ensuring data is accessible, governed, and fit for reporting and analytics.
Responsibilities
- Lead the integration of business systems into Microsoft Fabric and OneLake
- Design and build end-to-end data pipelines across multiple source systems
- Develop and maintain robust API and data integration patterns
- Work across structured and unstructured data sources, ensuring consistency and quality
- Collaborate with Data Engineers and stakeholders to align integration with reporting needs
- Improve existing integrations – performance, reliability, and scalability
- Support the design of a modern data architecture aligned to Fabric best practice
- Document data flows, integrations, and architecture clearly
Experience Required
- Proven experience implementing Microsoft Fabric in a production environment
- Strong background in integrating multiple systems (ERP, CRM, SaaS platforms, etc.)
- Experience building data pipelines using Azure tools (Data Factory, Synapse, or Fabric equivalents)
- Solid understanding of data modelling and lakehouse concepts
- Strong SQL and data transformation capability
- Experience working with APIs, ETL/ELT processes, and data ingestion patterns
- Comfortable working in a hands-on delivery role, not just design
- Experience with event-driven or real-time data integration
- Exposure to data governance and data quality frameworks
- Experience working in a scaling or transforming environment
What Success Looks Like
- Core systems fully integrated into Fabric with reliable, automated data flows
- Clear, well-structured data model supporting reporting and analytics
- Reduced manual data handling and improved data accuracy
- A scalable foundation that supports future growth and AI use cases
Data Engineer in Sheffield employer: IMT Resourcing Solutions
Contact Detail:
IMT Resourcing Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Microsoft Fabric. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss how you've tackled challenges in integrating systems and building data pipelines in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Engineer. 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!
Showcase Your Projects: Include specific examples of data pipelines you've built or systems you've integrated. We love seeing real-world applications of your skills, so don’t hold back on the details that show off your expertise!
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so make sure you communicate your passion for data engineering and how you can contribute to our team without fluff.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at IMT Resourcing Solutions
✨Know Your Microsoft Fabric Inside Out
Make sure you’re well-versed in Microsoft Fabric and its capabilities. Brush up on your experience with integrating systems into Fabric, as this will be a key focus during the interview. Be ready to discuss specific projects where you've successfully implemented Fabric and how it improved data flow.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience building data pipelines using Azure tools like Data Factory or Synapse. Have examples ready that demonstrate your ability to create reliable and scalable data flows, and be prepared to explain the challenges you faced and how you overcame them.
✨Collaboration is Key
This role involves working closely with various stakeholders, so highlight your collaborative skills. Think of instances where you’ve worked with IT and business teams to align data integration with reporting needs. Show that you can communicate technical concepts clearly to non-technical stakeholders.
✨Emphasise Data Quality and Governance
Be ready to discuss your understanding of data governance and quality frameworks. Share examples of how you’ve ensured data consistency and accuracy in previous roles. This will show that you not only care about building systems but also about maintaining high standards for data integrity.