
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Data Engineer
We are seeking a motivated and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data warehousing, ETL processes, and big data technologies. You will be responsible for designing, building, and maintaining scalable data pipelines, optimizing data models, and collaborating with data scientists and analysts to deliver actionable insights.
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.
Key Responsibilities:


Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Design, develop, and deploy robust ETL/ELT pipelines.
- Build and manage data warehouses and data lakes.
- Optimize data processing and query performance.
- Ensure data quality and integrity.
- Collaborate with cross-functional teams to understand data needs.
- Develop and maintain data documentation.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering.
- Proficiency in SQL and Python.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Hands-on experience with big data technologies such as Spark, Hadoop, or Kafka.
- Strong understanding of data warehousing concepts and best practices.
- Excellent problem-solving and communication skills.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills