At a Glance
- 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 a dynamic, supportive team environment.
- Why this job: Work with cutting-edge Microsoft technologies and make a real impact on clients' digital transformation.
- 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 in Manchester employer: Storm Technology Ltd
Littlefish Digital Solutions is an exceptional employer that champions a flexible, hybrid working culture, allowing you to thrive in a remote yet connected environment. With a strong focus on professional development and support for certifications, you'll have the opportunity to grow your skills while working with cutting-edge Microsoft technologies. Join a dynamic team dedicated to helping clients unlock the full potential of their data, all while enjoying a collaborative and innovative work atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Consultant — Microsoft Fabric & Data Solutions in Manchester
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Storm Technology Ltd.
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We think you need these skills to ace Senior Data Consultant — Microsoft Fabric & Data Solutions in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Storm Technology Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Storm Technology Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Storm Technology Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Storm Technology Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
