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REACH Energy

Metadata Specialist

United Kingdom
Posted about 14 hours ago
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Metadata Specialist

Required Experience & Skills

Experience

  • 5–8 years’ experience in metadata management, data governance, data engineering, or analytics engineering roles
  • Demonstrated experience operating in enterprise-scale or government data environments
  • Proven track record of implementing metadata practices within production data platforms
  • Experience working within product-oriented or Data Factory operating models
  • Experience supporting audit, compliance, or regulatory data requirements

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.

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.

Technical Skills

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  • Advanced SQL for schema inspection, validation, and metadata verification
  • Hands-on experience with data catalogs, lineage tools, and metadata platforms
  • Strong understanding of:
    • Data modeling principles
    • ETL/ELT and orchestration patterns
    • Lakehouse / data warehouse architectures
    • Analytics and semantic layer design
  • Experience embedding metadata into automated pipelines
  • Proficiency with version control and collaborative development practices
  • Working knowledge of Python or scripting for automation and validation
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“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

Metadata Management
Data Governance
Data Engineering
Analytics Engineering
SQL
Data Catalogs
Lineage Tools
Data Modeling
ETL/ELT
Lakehouse Architecture
Data Warehouse Architecture
Semantic Layer Design
Python
Version Control
Automated Pipelines
Data Factory Operating Models

Location

United Kingdom

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