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Pyramid Consulting, Inc

Data Engineer

London
Posted about 20 hours ago
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Role - Senior Data Engineer

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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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.

Location - London, UK(Hybrid)/Germany/Portugal/Spain

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Type of Employment - Contract (Initially 6 months)

YOUR QUALIFICATIONS AND SKILLS

  • Degree in Computer Science, Engineering, or equivalent professional experience.
  • 5+ years of relevant professional experience in data engineering, including leading technical workstreams, mentoring junior engineers, and driving software engineering best practices across teams.
  • Expert-level proficiency in Python and SQL, with the ability to work effectively in polyglot environments including Scala and Java within client enterprise systems.
  • Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence solutions, including prompt engineering, RAG, embeddings, vector databases, context construction, and production output handling using modern frameworks such as Spark, LangChain, Databricks, Dask, Airflow, Dagster, and Kedro.
  • Proven ability to lead AI feature delivery end to end, with strong judgment around model behaviour, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost.
  • Experience implementing data security and governance controls, including PII/PHI management, authentication, and role-based access control (RBAC).
  • Deep knowledge of MLOps and LLMOps, including CI/CD for data workflows, automated agent evaluation using LangSmith, Opik, and Langfuse, and infrastructure as code with Terraform across AWS, Azure, and GCP.
  • Excellent time management and autonomy, with the ability to independently own and deliver technical workstreams.
  • Experience using AI coding agents such as Cursor, Claude Code, and Codex is an advantage.
  • Strong written and verbal communication skills in English and the relevant local office language(s).
  • Willingness to travel as required.
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Location

London, England, United Kingdom

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