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Data Engineer

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Role: Data Engineer
Location: Remote
Employment Type: Full-time
Compensation: Competitive salary commensurate with experience, qualifications, and location. Indicative range: $105,000 – $170,000 (USD equivalent), plus benefits.
Role Overview
We are hiring a Data Engineer to build the pipelines and infrastructure that power analytics, machine learning, and product features. The role designs systems that move data reliably at scale and make it usable for everyone who depends on it.
Key Responsibilities
- Design, build, and maintain ETL/ELT pipelines moving data into the warehouse
- Model and document datasets that downstream teams can trust
- Maintain the data warehouse and orchestration tooling
- Partner with analytics and ML teams on data needs
- Monitor pipeline health and resolve production issues
- Improve data quality, lineage, and governance over time
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.
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 and Qualifications
- 3+ years in a data engineering role
- Strong SQL and Python skills
- Experience with modern warehouses (Snowflake, BigQuery, Redshift, Databricks)
- Experience with orchestration tools (Airflow, Dagster, Prefect, dbt)
- Familiarity with cloud platforms (AWS, GCP, Azure)
- Comfort with data modeling, dimensional design, and performance tuning
What You'll Bring
- Curiosity to dig into systems and turn findings into shipped improvements
- Strong written communication and ability to explain technical decisions
- A test-and-learn mindset; you ship fast, measure, and iterate
- Comfort working asynchronously across time zones


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What We Offer
- Fully remote, flexible work hours
- Performance-based bonus structure
- Annual learning & development stipend
- Health and wellness benefits (varies by location)
- Opportunity to work on high-scale, real-world impact projects
Equal Opportunity Statement
This is an equal opportunity role. Applications are welcomed from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are based solely on qualifications, skills, and demonstrated ability.
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