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Rapinno Tech Solutions GmbH

Data Architect

London
Posted 2 days ago
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Data Architect

Senior Enterprise Data Architect & AI Solutions Specialist

Core Competencies

  • 10+ years of deep engineering experience in Enterprise Data Architecture and Business Intelligence, specialising in:

    • SQL Server deep-dive implementations
    • Azure Synapse for large-scale data transformation and analytics
    • Power BI solutions for insightful reporting and visualisation
  • Conversational AI Operator:

    • Hands-on design and delivery of conversational analytics platforms
    • Building natural language query engines and GenAI-driven data agents
    • Experience bridging human intent with structured data outputs

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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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Strong

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.

  • Cutting-Edge LLM & AI Infrastructure Expert:

    • Claude and Frontier (or similar advanced LLM suite mastery):
      • Prompt engineering optimisation
      • Schema mapping for federated data retrieval
      • Automated code generation (SQL, DAX, integrated Python snippets)
    • Assurance of production-grade deployment of AI-assistant solutions
  • Modern Microsoft Stack Authority:

    • Backbone knowledge of Microsoft Fabric, including:
      • Fabric IQ (AI-driven data operations)
      • Fabric Data Agents (manufactured intelligent data pipelines)
      • OneLake (unified data fabric layer)

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Technical Proficiencies

  • Programming Proficiency:

    • Advanced Python (incl. PySpark orchestration)
    • SQL deep speciality (ETL, complex query optimisation)
    • DAX for analytical multidimensional querying
  • Fluency in SQL/NoSQL translation, ETL pipelines, and real-time ingestion patterns

  • Hands-on with Python libraries for ML/data transformation (e.g., Pandas, TensorFlow)

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Data Architecture
Business Intelligence
SQL Server
Azure Synapse
Power BI
Conversational Analytics
Natural Language Query Engines
GenAI Data Agents
Claude AI Tools
Prompt Engineering
Schema Mapping
Automated Code Generation
Microsoft Fabric
Python
PySpark
DAX

Location

London, England, United Kingdom

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