RiskPod
Data Platform Analytics Engineer (Biq Query
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Platform Analytics Engineer – Contract
UK Remote | 6 Months + Extension | £500 - 525 per day
We are seeking two experienced Data Platform Analytics Engineers to support a major FinTech programme. Although the organisation is headquartered in London, the positions are 99% remote and open to candidates based anywhere in the UK with a valid right to work. Contract-to-permanent options may also be considered.
You will design, build and optimise scalable cloud-based data platforms using Google BigQuery, dbt and the wider Google Cloud ecosystem. Working across Product, Analytics, Data Science, Finance, Risk and Engineering, you will develop robust data models, pipelines, warehouses and data marts that support commercial growth and regulatory requirements.
Reasons to use Rodeo
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.
It 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.
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 Requirements:
- 8–12 years’ data engineering experience
- Strong expertise in BigQuery, dbt Core or dbt Cloud, advanced SQL and query optimisation
- Python experience required
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable Skills:
- Knowledge of Cloud Storage, Pub/Sub, Dataflow and Cloud Composer/Airflow
- Familiarity with Git, CI/CD, automated testing and Agile delivery
- Banking or FinTech experience, particularly across payments, lending, savings, fraud, FinCrime/AML, regulatory reporting or Open Banking
- Exposure to Data Mesh, data products, governance, MLOps, streaming, metadata management and BI tools would be beneficial
Start Date:
28 September, or early October
“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
Location