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La Fosse

Data QA

London
£65k – £70k/yr
Posted about 18 hours ago
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Data QA - £65,000 - Permanent - London or Manchester (Hybrid)

Please note: Applicants must have the right to work in the UK and be able to attend either the London or Manchester office 1-2 days per week.

La Fosse is partnering with a leading financial services organisation to hire a Data QA specialist to join their growing data function.

This is an exciting opportunity to become the first QA within an established asset management organisation. You'll play a key role in ensuring data accuracy, reliability, and integrity, helping the business make trusted, data-driven decisions while reducing operational risk.

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.

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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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Strong

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Key Requirements:

  • Test automation experience using Python or similar technologies
  • Strong SQL skills for data validation and analysis
  • Experience testing ETL processes, data pipelines, and data warehouses
  • Exposure to modern data platforms including Snowflake, Synapse, or Azure
  • Strong understanding of data quality, reconciliation, and integrity testing
  • Experience across functional, integration, regression, and performance testing

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Interview Process

  • Technical Interview
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Location

London, England, United Kingdom

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