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- Tasks: Shape data strategies and deliver solutions using Microsoft Fabric and Power BI.
- Company: Join Littlefish, a growing Microsoft Partner focused on Data & AI.
- Benefits: Market competitive salary, flexible hybrid working, and support for certifications.
- Other info: Mentor junior consultants and enjoy excellent professional development opportunities.
- Why this job: Work with cutting-edge Microsoft technologies and make a real impact on clients' data journeys.
- Qualifications: Experience in Microsoft data solutions and strong communication skills.
The predicted salary is between 36000 - 60000 £ per year.
Come and join the Littlefish Digital Solutions team!
Work location: Remote but connected (as defined by our Hybrid working policy)
Salary: Market competitive
Who we are:
Littlefish is growing its Microsoft capability in the UK following the 2024 acquisition of Storm Technology in Ireland. Together we deliver across M365, D365, Power Platform and Data & AI, supporting organisations on their digital transformation journey.
At Littlefish, our Data & AI practice helps customers get more from their data — from strategy and governance through to building and delivering solutions on the Microsoft stack. We work across technologies including Microsoft Fabric, Power BI, Azure Synapse, and Databricks.
About the role:
We are hiring a Senior Data Consultant to join the team. You’ll work directly with customers to shape their data strategy, advise on governance and architecture, and deliver solutions using Microsoft Fabric, Power BI and Azure data services. This role is client-facing and combines technical delivery with consultative engagement.
What you’ll do
- Facilitate workshops and discovery sessions with customers.
- Assess data maturity and recommend practical roadmaps.
- Design and deliver solutions with Microsoft Fabric (OneLake, Dataflows, Notebooks, Power BI).
- Support sales with demos, PoCs, proposals and RFP responses.
- Mentor junior consultants and developers, providing technical leadership.
What you’ll bring
- Proven experience delivering Microsoft-based data solutions.
- Hands-on knowledge of Microsoft Fabric and Power BI.
- Strong background in data architecture, modelling, ETL/ELT.
- Useful: Azure Synapse, Data Factory, Databricks, PySpark; SSRS/SSAS/SSIS; Azure DevOps/Git.
- Previous consulting or pre-sales experience.
- Clear communication skills with both technical and non-technical audiences.
- Microsoft Data certification (e.g. Fabric) preferred.
Why join us
- Join a growing Microsoft Partner & Leader
- Be part of a specialist Data & AI team with a strong Microsoft focus.
- Work hands-on with the latest Microsoft data technologies.
- Support for certifications and professional development.
- Flexible, hybrid working culture.
👉 Apply now and help customers unlock more from their data
Senior Data Consultant — Microsoft Fabric & Data Solutions employer: Storm Technology Ltd
Contact Detail:
Storm Technology Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Consultant — Microsoft Fabric & Data Solutions
✨Tip Number 1
Network like a pro! Reach out to current employees at Littlefish on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Data Consultant role.
✨Tip Number 2
Show off your skills in action! Prepare a mini-project or case study that showcases your expertise with Microsoft Fabric and Power BI. This can be a great conversation starter during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors, focusing on both technical questions and client-facing scenarios. This will help you feel more confident when discussing your experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Littlefish team.
We think you need these skills to ace Senior Data Consultant — Microsoft Fabric & Data Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Consultant role. Highlight your experience with Microsoft Fabric, Power BI, and any relevant data architecture skills. We want to see how your background aligns 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 solutions and how you can help our clients on their digital transformation journey. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills in your application. Mention specific projects where you’ve used Microsoft technologies like Azure Synapse or Databricks. We’re keen to see your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Storm Technology Ltd
✨Know Your Microsoft Stack
Make sure you brush up on your knowledge of Microsoft Fabric, Power BI, and Azure data services. Be ready to discuss how you've used these technologies in past projects and how they can benefit potential clients.
✨Showcase Your Consultative Skills
Since this role is client-facing, prepare examples that highlight your experience in facilitating workshops and discovery sessions. Think about how you can demonstrate your ability to assess data maturity and recommend practical roadmaps.
✨Prepare for Technical Questions
Expect questions around data architecture, modelling, and ETL/ELT processes. Brush up on your hands-on knowledge and be ready to explain complex concepts in a way that's easy for non-technical audiences to understand.
✨Demonstrate Leadership and Mentorship
As a Senior Data Consultant, you'll be expected to mentor junior consultants. Prepare to discuss your leadership style and provide examples of how you've successfully guided others in previous roles.