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Goodman Masson

Data Engineer

London
£350/day
Posted about 17 hours ago
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Looking for an experienced Data Engineer to join a high-performing engineering team responsible for building and maintaining scalable data platforms that support customer-facing applications and AI/ML-driven products.

Working closely with engineering, data science and product teams, you will design, develop and maintain robust data pipelines, ensuring high standards of data quality, observability and operational excellence.

Key Responsibilities

  • Design, build and maintain scalable data pipelines using Google Cloud Platform technologies.
  • Develop and optimise data processing workflows using Cloud Composer (Airflow), Dataflow and BigQuery.
  • Build monitoring and observability into data platforms using modern tooling.
  • Implement robust data quality controls to ensure accuracy, reliability and compliance.
  • Collaborate with product, engineering and data science teams to understand requirements and deliver scalable solutions.
  • Participate in technical design discussions and code reviews.
  • Support data tracking, ingestion, transformation and monitoring across multiple data sources.
  • Contribute to CI/CD processes and infrastructure automation.

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.

Start with a chat, not a search bar

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

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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.

Required Skills & Experience

  • Commercial experience building and supporting batch and/or streaming data pipelines.
  • Strong knowledge of Google Cloud Platform, including technologies such as BigQuery, Cloud Composer (Airflow), Dataflow or Apache Beam.
  • Experience working with Spark, Dataproc or similar distributed processing frameworks.
  • Strong programming skills in Python and SQL.
  • Experience with Java or Scala is beneficial.
  • Experience with Docker, Kubernetes and Infrastructure as Code tools such as Terraform.
  • Experience working with modern software development practices, including Git, CI/CD and automated testing.
  • Ability to write technical design documentation and communicate complex solutions to both technical and non-technical stakeholders.
  • Data warehouse optimisation (BigQuery, Snowflake or similar).
  • Data observability and monitoring tools.
  • Looker or similar BI platforms.
  • MLOps or machine learning data pipelines.
  • Experience working within cloud-native environments.

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Contract Details

  • 12-month contract
  • £350 a day inside IR35
  • Hybrid working (London)
  • Immediate or short notice candidates preferred
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Skills

Data Engineering
Google Cloud Platform
BigQuery
Cloud Composer
Dataflow
Python
SQL
Java
Scala
Docker
Kubernetes
Terraform
CI/CD
Data Quality
Data Pipelines
MLOps

Location

London, England, United Kingdom

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