Tenth Revolution Group
Fabric Consultant

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Fabric Consultant
Up to £90,000
We are partnering with a leading Microsoft-focused consultancy that specialises in delivering enterprise-scale data, analytics and AI transformation projects. Working with organisations across a range of industries, the business helps clients unlock greater value from their data through modern cloud architectures, advanced analytics and Microsoft technologies.
As part of continued growth within its Data & AI practice, the business is looking to appoint a Fabric Consultant to help design and deliver modern data platform solutions. This is an excellent opportunity for a data professional to work on cutting-edge Microsoft Fabric engagements while expanding their expertise across Azure, Power BI and emerging AI technologies.
Working closely with clients, architects and technical teams, you will be responsible for building scalable data solutions, designing modern data architectures and enabling organisations to make better use of their data. You will play a key role in delivering high-quality solutions while contributing to innovation and best practice across multiple client projects.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Design, build and optimise high-performance data pipeline solutions using Microsoft Fabric, Azure Synapse and Azure Databricks.
- Develop scalable data platforms to ingest, store and transform large volumes of data.
- Collaborate with stakeholders, analysts and data scientists to support advanced analytics and machine learning projects.
- Ensure data quality, governance and performance across enterprise data platforms.
- Support clients throughout the full project lifecycle, from discovery through to implementation and optimisation.
Skills & Experience
- Proven experience in Data Engineering using Azure Synapse, Azure Data Factory or Azure Databricks.
- Experience with Microsoft Fabric.
- Strong Python programming skills focused on data engineering and data transformation.
- Data modelling experience with a solid understanding of Kimball methodology.
- Experience building and optimising cloud-based data platforms and data pipelines.
- Excellent communication and stakeholder engagement abilities.
- Experience working within a consultancy or client-facing environment is advantageous.


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What's on Offer
- Salary up to £90,000.
- Opportunity to work on enterprise-scale Microsoft Fabric and Azure data transformation programmes.
- Exposure to the latest Microsoft data, analytics and AI technologies.
- Significant involvement in shaping client data strategies and modern data architectures.
- Collaborative and innovation-focused working environment.
- Opportunity to develop expertise across AI, analytics and cloud technologies.
- Clear progression opportunities within a growing Data & AI practice.
- Performance-related bonus scheme.
- Private medical insurance, pension and additional wellbeing benefits.
- Flexible and hybrid working arrangements.
- Ongoing training, certification support and professional development opportunities.
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