RevTech
Analytics Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Analytics Engineer | Azure | dbt | SQL | Python
📍 London / Hybrid
đź’° Salary up to ÂŁ90k
We’re working with a growing technology business looking for an Analytics Engineer to help build and scale their data capabilities.
This is a hands-on role for someone who enjoys creating robust data foundations, improving existing models, and helping shape a modern data platform. You’ll take ownership of the data models and pipelines that power reporting and decision-making across the business.
Responsibilities
- Build and maintain dbt models and complex SQL transformations
- Support the migration and redesign of existing data models and pipelines
- Help build and structure a modern data warehouse environment
- Develop and maintain data pipelines using orchestration tools
- Use Python for automation, validation, and data quality improvements
- Apply strong data modelling practices across reporting and analytics
- Implement testing, documentation, and data quality processes
- Work closely with analysts and stakeholders to deliver trusted 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.
Requirements
- Experience in Analytics Engineering, Data Engineering, or similar
- Strong SQL and production dbt experience
- Solid understanding of data modelling and warehouse design principles
- Experience with Python, Git, and CI/CD workflows
- Experience with Azure (ADL/ADF), PostgreSQL, Terraform, Power Automate, and Cosmos DB
- Exposure to orchestration tools such as Prefect, Airflow, or Dagster


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Experience in insurance, financial services, or other regulated industries
- Experience building data warehouses or migrating legacy platforms
- Familiarity with tools such as Metabase, Tableau, or data observability platforms
A great opportunity for an Analytics Engineer who wants ownership, technical influence, and the chance to build something from the ground up.
“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
Location