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Data Tools Specialist (Remote)

United Kingdom
$40 – $80/hr
Posted 1 day ago
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Role: Data Tools Specialist (Remote)

Location: Remote (Work from Anywhere)
Job Type: Contract
Payout: $40 - $80/hour

Role Overview:

One of our clients is seeking an Engineering & Data tools Specialist to contribute to the development and maintenance of internal tools and data infrastructure. The role involves collaborating with cross-functional teams to enhance data processing capabilities and streamline engineering workflows.

Key Responsibilities:

  • Design, develop, and maintain data tools and pipelines to support business operations and decision-making.
  • Optimize existing engineering tools for improved performance, scalability, and usability.
  • Collaborate with engineering and data teams to integrate new tools and technologies into workflows.
  • Troubleshoot and resolve issues in data processing systems, ensuring reliability and efficiency.
  • Document tool configurations, processes, and troubleshooting steps for team reference.

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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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 & Qualifications:

  • Proficiency in Python, SQL, and data processing frameworks such as Pandas or PySpark.
  • Experience with data pipeline development, ETL processes, and data warehousing solutions.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure for tool deployment and management.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes.
  • Strong problem-solving skills with a focus on automation and tooling improvements.
  • Experience working in Agile or Scrum environments and collaborating with distributed teams.

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More About the Opportunity:

This role offers the chance to work with a global leader in the technology industry, contributing to the scalability and efficiency of data-driven systems. The position supports critical infrastructure that enables faster, more reliable decision-making across the organization.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

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Skills

Python
SQL
Pandas
PySpark
ETL
Data Warehousing
AWS
GCP
Azure
Docker
Kubernetes
Agile
Scrum
Data Pipeline Development
Automation
Data Processing

Location

United Kingdom

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