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Interim Data Warehouse Modernisation Lead

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Data Warehouse Modernisation Lead
UK-based | Predominantly remote with occasional London travel | Contract | Up to £550 per day
We are working with an established, fast-growing, VC-backed digital bank undergoing a significant modernisation of its technology and data infrastructure.
The bank is seeking an experienced Data Warehouse Modernisation Lead to take end-to-end ownership of the design, build and operation of a new enterprise data warehouse on Microsoft Fabric.
This is a senior, hands-on contract role. You will need to be equally comfortable working directly with executive stakeholders, leading a complex programme of change and remaining hands-on with the underlying data architecture, pipelines, modelling and governance.
The opportunity
You will lead the bank’s transition from a fragmented legacy reporting environment to a modern, governed and scalable data platform.
Working as an embedded member of the technology team, you will deliver each business domain from source system through to governed and tested data, an authoritative semantic layer and live business reporting.
Your responsibilities will include:
- Designing, building and operating the Microsoft Fabric data warehouse.
- Establishing its workspaces, capacity management, OneLake structure and bronze, silver and gold layers.
- Designing the core business domain model across customers, accounts, balances and transactions.
- Building Fabric-native ingestion using Data Factory pipelines, Mirroring, Dataflows Gen2 and OneLake Shortcuts.
- Designing bespoke extraction from legacy and on-premise core banking systems.
- Owning the modelling approach across dbt and native Fabric capabilities.
- Building and governing a single authoritative semantic model for Power BI, Excel, AI tools and other approved applications.
- Implementing row-level and column-level security at the data layer.
- Establishing data dictionaries, lineage, reconciliation and quality testing.
- Using AI to accelerate the analysis and documentation of legacy reporting logic.
- Working with senior executives, Compliance and Data Protection stakeholders to ensure the platform meets the requirements of a regulated bank.
- Leading the wider programme, managing change and bringing stakeholders with you throughout the transformation.
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.
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.
The person
We are looking for a seasoned data specialist who combines genuine technical depth with strong leadership and stakeholder-management skills. A hands-on and entrepreneurial mindset is essential.
You should bring:
- Deep, current experience of Microsoft Fabric, including OneLake, Data Factory, Dataflows Gen2, semantic models, Direct Lake and data-layer security.
- Strong SQL and SQL Server expertise, with the ability to own both data pipelines and modelling.
- Experience designing and delivering a modern cloud-based data warehouse.
- The ability to reverse-engineer undocumented legacy reporting systems and data flows.
- Strong knowledge of governance, lineage, data dictionaries, reconciliation and quality testing within a regulated environment.
- The credibility to engage senior executives and influence strategic decisions.
- A hands-on approach, with the willingness and technical ability to remain “on the keyboard”.
- Experience leading programmes and managing organisational change alongside technical delivery.


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Previous experience in a challenger bank, neobank, payments business, FX platform, or innovative fintech is required. Exposure to core banking platforms, particularly Temenos T24, would also be valuable.
Additional experience with dbt, Databricks, Snowflake, BigQuery, Redshift, Fivetran, Airbyte or AI/LLM-integrated data architectures would be beneficial.
Applicants are to be based in the UK and be able to travel to London occasionally.
Day rate: Up to £550 per day.
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