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Senior Data Platform Engineer

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Senior Data Platform Engineer
Fully Remote (UK) | Up to £130,000 + Benefits
Build Something From The Ground Up
This is not a role maintaining legacy systems.
This is an opportunity to design, build and own a modern enterprise data platform from day one, shaping the future of data, analytics and decision-making for a fast-growing technology business operating in a highly regulated and data-rich environment.
We're looking for a Senior Data Platform Engineer who thrives on creating scalable solutions, influencing technical direction and delivering genuinely business-critical outcomes. You'll be the driving force behind the evolution of a Microsoft Fabric-powered data ecosystem, working closely with senior leadership to establish architecture, engineering standards and long-term strategy.
What You'll Be Doing
Own the Data Platform
- Design and implement a modern Microsoft Fabric data platform
- Lead the journey from early-stage capability to a fully production-ready environment
- Define scalable architecture patterns across warehouse, lakehouse and analytics layers
- Make key technical decisions that balance immediate delivery with future growth
Engineer Robust Data Solutions
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.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Build automated, resilient data pipelines
- Integrate data from databases, APIs, SaaS platforms and business applications
- Develop scalable ingestion, transformation and orchestration processes
- Implement monitoring, quality controls and operational excellence
Deliver Business Value
- Create trusted semantic models and Power BI solutions
- Transform fragmented reporting into governed, reusable data products
- Enable executive reporting, operational analytics and future advanced analytics use cases
- Establish consistent business metrics and data definitions
Drive Best Practice
- Introduce CI/CD, source control and automated deployment processes
- Implement governance, security and access control frameworks
- Establish documentation, standards and support models
- Shape the future roadmap of the organisation's data capability
What We're Looking For
You'll likely bring:
- Significant experience in Data Engineering, Data Platform Engineering or a similar role
- Experience building production data warehouses, lakehouses or modern cloud data platforms
- Strong Microsoft Fabric expertise, including some of:
- OneLake
- Fabric Lakehouse
- Fabric Warehouse
- Data Factory
- Notebooks
- Power BI
- Semantic Models
- Dataflows
- Advanced SQL skills
- Python and/or PySpark experience
- Strong dimensional modelling and data warehousing knowledge
- Experience building enterprise data pipelines and integrations
- Power BI development expertise, including DAX and performance optimisation
- Experience with Git, CI/CD and modern engineering practices
- Strong understanding of security, governance and data quality
- Excellent stakeholder engagement and communication skills


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Why This Opportunity?
- Fully remote anywhere in the UK
- Up to £130,000 salary
- Opportunity to build a strategic platform from the ground up
- High level of ownership and technical influence
- Greenfield Microsoft Fabric environment
- Clear pathway to shape architecture, standards and future growth
- Join a business investing heavily in its data and analytics capability
Ready to lead the creation of a modern data platform rather than inherit one?
This is a rare opportunity to take ownership of a business-critical Microsoft Fabric estate, make architectural decisions that matter, and create the foundation for data-driven growth at scale. Apply now. 🚀
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