Venesky Brown
Data Architect

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Job Description
Venesky-Brown’s client is currently looking to recruit a Data Architect for an initial short-term contract (20 working days) on a rate of £600/day (Outside IR35). This role will be remote.
Essential Skills
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Expert knowledge of enterprise data and analytics architecture, including:
- Data modelling
- Governance
- Metadata
- Lineage
- Master data management
- Data quality
- Interoperability
- Information architecture
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Significant experience designing and delivering:
- Enterprise data platforms
- Data warehouses/lakehouses
- ETL/ELT processes
- APIs
- Data pipelines
- Cloud integration 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.
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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.
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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.
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Advanced technical skills in:
- SQL
- Python
- Power BI
- Enterprise data governance tools
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Strong understanding of AI-enabled data platforms, including:
- Generative AI
- Large Language Models (LLMs)
- AI agents
- Vector Search and Retrieval Augmented Generation (RAG)
- Knowledge of associated governance, security, and architectural requirements
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Proven experience delivering large-scale data transformation programmes using cloud and enterprise technologies such as:
- Microsoft Azure
- Microsoft Fabric
- Azure Data Services
- SQL Server
- Snowflake
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Experience evaluating, selecting, and implementing:
- Enterprise data, analytics, integration, and governance platforms
- Developing strategic technology roadmaps


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Desirable Skills
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Professional certifications in:
- Microsoft Azure
- Microsoft Fabric
- Snowflake
- TOGAF
- CDMP or equivalent industry-recognised frameworks
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Experience leading:
- Enterprise-wide data strategy
- Governance maturity
- AI adoption initiatives within complex organisations
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Knowledge of:
- Semantic modelling
- Metadata catalogue solutions
- Advanced analytics ecosystems
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Experience supporting the adoption of emerging AI and data technologies in highly regulated environments.
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