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Infinity Quest

Senior Data / Platform Engineer

Guildford
Posted about 20 hours ago
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Senior Data / Platform 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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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.

We are seeking a skilled and experienced Senior Data / Platform Engineer to join our Data & Analytics team. This hybrid role combines hands-on data engineering on Databricks and Azure Synapse with platform administration responsibilities across our cloud data estate.

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Must Have

  • Databricks: hands-on experience building and optimizing pipelines, managing Delta Lake, and administering workspaces (cluster policies, Unity Catalog, Secret Scopes, Workflows).
  • Python / PySpark: strong programming skills for data processing, automation, and scripting.
  • Azure data stack: Synapse, Databricks, ADLS Gen2, Key Vault — including Linked Services, Managed Identity, and Spark Pool configuration.
  • Azure platform fundamentals: compute, storage, networking (VNets, NSGs, Private Endpoints), identity and RBAC.
  • CI/CD: GitHub Actions (with OIDC federation) and/or Azure DevOps for data and platform deployments.
  • Infrastructure-as-Code: Pulumi (or Terraform / Bicep) across multiple environments.
  • Scripting: PowerShell and Bash for platform automation.
  • Monitoring & observability: Azure Monitor, Log Analytics, KQL.
  • Big data file formats: Parquet and Delta Lake.
  • Cloud-native data modelling and ETL/ELT frameworks on Azure.
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Skills

Databricks
Azure Synapse
Python
PySpark
Azure Data Lake Storage Gen2
Unity Catalog
GitHub Actions
Pulumi
PowerShell
Bash
Azure Monitor
KQL
Delta Lake
Parquet
Infrastructure-as-Code
RBAC

Location

Guildford, England, United Kingdom

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