Vertus Partners
Data Engineer- £125k+ (Azure/Snowflake)

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title
We are working with a highly regarded financial services organisation looking to hire an experienced Data Engineer to join a growing data function. This role sits within a collaborative technology team responsible for delivering scalable data solutions, business intelligence and workflow automation that support key business functions across the organisation.
This is a hands-on position suited to someone with a strong background in Azure data technologies, data engineering and reporting. You'll be responsible for developing robust data pipelines, building insightful dashboards and ensuring high-quality, reliable data is available to stakeholders across the business.
The successful candidate will have significant commercial experience working with both Azure Data Factory (ADF) and Snowflake, as these technologies form the core of the organisation's data platform.
Key Responsibilities
- Design, develop and maintain scalable data pipelines using Azure Data Factory.
- Develop and optimise data models and transformation processes within Snowflake.
- Build and enhance Power BI dashboards and reports, translating business requirements into meaningful visualisations.
- Write efficient and complex SQL queries to support reporting, analytics and data integration.
- Work closely with business stakeholders to gather requirements and deliver data-driven solutions.
- Develop and support automated workflows using Microsoft Power Platform technologies where appropriate.
- Monitor and improve data quality, validation processes and data integrity across multiple data sources.
- Troubleshoot production issues, perform root cause analysis and implement long-term improvements.
- Contribute to best practices around data engineering, governance and documentation.
- Support ongoing enhancement of the organisation's cloud-based data platform.
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 Experience
- Proven experience working as a Data Engineer, Analytics Engineer, BI Developer or similar.
- Strong hands-on experience with Azure Data Factory (ADF), including building and maintaining production ETL/ELT pipelines.
- Demonstrable commercial experience using Snowflake to develop, optimise and manage cloud-based data solutions.
- Advanced SQL skills with experience writing complex queries, stored procedures and data transformations.
- Strong Power BI experience, including DAX, Power Query and data modelling.
- Experience working within Microsoft Azure.
- Excellent stakeholder engagement and requirements gathering skills.
- Strong analytical and problem-solving abilities.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable Experience
- Python scripting for data engineering or automation.
- Power Automate or wider Microsoft Power Platform experience.
- Azure Functions, Logic Apps or Azure SQL.
- Experience working with enterprise platforms such as ServiceNow or Workday.
- Previous experience within financial services, banking, asset management or another regulated environment.
- Exposure to AI-enabled analytics or modern data platforms would be advantageous.
What's on Offer
This is an excellent opportunity to join a forward-thinking technology team where you'll play a key role in developing modern cloud-based data solutions. You'll work with contemporary Azure technologies, contribute to strategic data initiatives and have the opportunity to influence how data is used across the business.
Please note this role requires 5 days a week in-office attendance but they do offer flexible working around major school holiday periods. The salary is between £125k-£130k + benefits + bonus.
“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