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- Tasks: Design and deliver enterprise-grade solutions using Microsoft Fabric technologies.
- Company: Leading Data & Analytics consultancy with a focus on innovation.
- Benefits: Competitive salary, bonus, pension, 25 days holiday, health benefits.
- Why this job: Own the new fabric division and make a real impact on client transformations.
- Qualifications: 1-3 years experience with Microsoft Fabric and strong SQL skills.
- Other info: Clear progression route to Solutions Architect and dynamic team environment.
The predicted salary is between 65000 - 75000 £ per year.
A leading Data & Analytics consultancy is seeking a Microsoft Fabric Consultant to join their growing team. This is a hands-on role focused on designing and delivering enterprise-grade solutions using Microsoft Fabric technologies. You’ll work closely with clients and internal teams to build scalable data pipelines, semantic models, and visualizations that support advanced analytics and business intelligence.
This is an opportunity for you to own the new fabric division which will be focusing on clients who are going through transformations in the UK. There is also a clear progression route to Solutions Architect for people who would like to get that opportunity.
As a Microsoft Fabric Consultant you don't need to be an expert but you do need at least 1-3 years experience and have enough drive to make this role your own!
Key Responsibilities:- Lead development using Microsoft Fabric components: Data Factory, Lakehouse, Power BI
- Architect and optimize data pipelines for performance and scalability
- Build and maintain semantic models and datasets for reporting and analytics
- Collaborate with data engineers, analysts, and business stakeholders
- Ensure best practices in data governance, security, and compliance
- Mentor junior developers and contribute to internal knowledge sharing
- Participate in client workshops and solution design sessions
- Proven experience with Microsoft Fabric (Data Factory, Lakehouse, Power BI)
- Strong proficiency in SQL, DAX, and Power Query (M)
- Experience with Azure Data Services (Synapse, Data Lake, Azure SQL)
- Solid understanding of data modelling, ETL processes, and BI architecture
- Familiarity with CI/CD pipelines, DevOps, and version control (Git)
- Excellent communication and stakeholder management skills
- Ability to work independently and lead technical delivery
- Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Power BI Data Analyst Associate)
- Consulting or client-facing experience
- Knowledge of AI/ML integration within analytics platforms
- Understanding of data mesh and Microsoft Fabric architectures
If you are a Data Engineer, Data Analyst, Data Consultant who has experience with Microsoft Fabric this could be for you.
Get in touch with me - kumbirai.mafini@opusrs.com
Microsoft Fabric Consultant employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Fabric Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field, especially those who work with Microsoft Fabric. Attend meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects using Microsoft Fabric, Power BI, and Azure. This will give you an edge during interviews and help us see your hands-on experience.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to data modelling, ETL processes, and Microsoft Fabric components. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Microsoft Fabric Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Microsoft Fabric Consultant role. Highlight your experience with Microsoft Fabric, SQL, 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 tell us why you're passionate about data and analytics, and how you can contribute to our team. Be sure to mention any specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Projects: If you've worked on any projects using Microsoft Fabric or related technologies, don’t hold back! Include links or descriptions of your work to give us a taste of what you can do. We love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Microsoft Fabric Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric components like Data Factory, Lakehouse, and Power BI. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling and ETL processes. Have specific examples ready that demonstrate your ability to architect and optimise data pipelines for performance and scalability. This will show that you can hit the ground running.
✨Communicate Effectively
Since this role involves collaboration with various stakeholders, practice articulating your thoughts clearly. Think about how you can explain complex technical concepts in a way that's easy for non-technical clients to understand. Good communication can set you apart!
✨Be Ready for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or scenarios related to data governance, security, and compliance. Prepare by thinking through potential challenges you might face in the role and how you would address them, showcasing your problem-solving skills.