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Data Engineer - Infrastructure (Remote)

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Role: Data Engineer - Infrastructure (Remote)
Location: Remote (Work from Anywhere)
Job Type: Contract
Payout: $30 - $100/hour
Role Overview:
We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. You will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.
Key Responsibilities:
- Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.
- Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.
- Ensure data integrity, consistency, and security across all data assets and systems.
- Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.
- Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality data solutions.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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 & Qualifications:
- Experience with SQL, Python, or Scala for data engineering tasks.
- Proficiency in data pipeline tools such as Apache Airflow, Spark, or similar frameworks.
- Knowledge of cloud platforms (AWS, GCP, Azure) and their data services.
- Familiarity with data modeling, warehousing concepts, and schema design.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.


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More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the modernization of data infrastructure and enabling advanced analytics capabilities. The position allows for remote work with flexible hours, providing a balance between professional growth and personal flexibility.
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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