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Rapinno Tech Solutions GmbH

Data Engineer

London
Posted about 21 hours ago
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Role: Data Engineer – Data Modelling
Location: London, UK - Hybrid
Duration: 6 months
Type: Inside IR35 Contract


Job Description:

Role Overview

We are seeking a skilled Data Engineer with strong modelling experience across data warehouse and graph paradigms. The ideal candidate is proficient across the GCP data stack, CI/CD pipelines, infrastructure-as-code, and data governance tooling, and can operate independently in a complex cloud-native environment.

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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Required Skills:

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  • Strong GCP Data Engineering experience with BigQuery, Dataform, GCS, Cloud Composer/Airflow, and SpannerDB.
  • Advanced SQL & Python with data transformation, optimization, and pipeline development.
  • Strong Data Modelling skills across Data Warehouse & Graph, including conceptual/logical/physical modelling, SCD, time-series, normalization/denormalization, and Medallion architecture.
  • Hands-on experience with Airflow DAGs, GitLab CI/CD, and Terraform/IaC.
  • Experience with BigQuery governance, IAM, metadata, data quality, and Data Contracts.
  • Knowledge of GraphQL, Pub/Sub, and GIS/BigQuery GIS.
  • Telecommunications domain knowledge, especially network topology, KPIs, telemetry, and asset lifecycle, is preferred.
  • Strong stakeholder management and experience delivering large-scale cloud data projects.
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Skills

GCP
BigQuery
Dataform
Cloud Composer
Airflow
SpannerDB
SQL
Python
Data Modelling
GitLab CI/CD
Terraform
Data Governance
GraphQL
Pub/Sub
BigQuery GIS
Stakeholder Management

Location

London, England, United Kingdom

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