Vertus Partners
Data Engineer - Snowflake/AWS (Flexible Working)

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Engineer – Snowflake/AWS Glue/Airflow
Our client, a reputable name in the financial services sector, is looking for an experienced Data Engineer to join a growing data function and help build and enhance a modern cloud-based data platform.
This is a hands-on role focused on designing and developing scalable data pipelines, improving data quality, and delivering trusted data solutions that support business decision-making. You will work extensively with Snowflake, AWS Glue and Airflow, building automated ETL/ELT processes, managing data ingestion workflows and helping shape best practices across the platform. You will also help mentor junior engineers over time as the team grows.
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.
The successful candidate will have strong SQL skills, experience working with cloud data technologies, and a proven background delivering data engineering solutions within complex environments. Experience within financial services is highly desirable, particularly where you have worked with large datasets, data governance, and production-grade platforms.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Key technologies:
- Snowflake
- AWS Glue & S3
- Apache Airflow
- SQL
- Python
- Data pipelines and ETL/ELT
- Data modelling and data quality
- Cloud-based data platforms
This is an excellent opportunity for a Data Engineer who enjoys solving complex data challenges and wants to play a key role in developing a scalable, future-focused data platform.
The role is based out of Edinburgh and requires 6 days a week in the office per month. The salary is £75,000 base + pension.
“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