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MANNING SERVICES LIMITED

Data Solution Architect & Pre Sales

London
Posted about 16 hours ago
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Role Title: SAVP – Data Management Solution Lead

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

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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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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BU/Segment: Data Management

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Location: London, United Kingdom (Flexible hybrid working, with time on client site as required)

Qualifications and experience we consider to be essential for the role:

  • 7+ years of professional experience designing and delivering enterprise data solutions: data warehouses, data platforms, data integration and data migration.
  • Experience supporting pre-sales activity in a consulting services organisation: solution shaping, estimation, and contribution to proposals or RFP responses
  • 3+ years of experience working with Banking & Capital Markets organisations (e.g. retail banking, commercial banking, lending, payments, markets and wealth management) or Energy, Utilities and Travel organisations, either within a consulting services environment or directly in industry.
  • Hands-on experience architecting solutions on at least one major cloud data platform (e.g., AWS, Azure, GCP, Databricks, Snowflake), including data pipeline and integration design.
  • Strong data modelling capability across conceptual, logical and physical models, with practical experience of data quality, metadata and governance design.
  • A working understanding of AI and generative AI, including how AI solutions depend on data foundations (e.g., data for RAG and retrieval, metadata and lineage for governed AI use) and how AI capabilities are being applied within data management.
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Location

London, England, United Kingdom

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