How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Engineer
A leading professional services organisation is seeking a Data Engineer to join its growing Data & Analytics function. This is an excellent opportunity to play a key role in the development and enhancement of an enterprise data platform, helping to deliver high-quality reporting, analytics, and business insights.
You'll be responsible for designing and maintaining data solutions, building scalable data pipelines, and supporting the delivery of robust data models that power enterprise reporting and analytics.
Key Responsibilities
- Design and develop enterprise data platform solutions.
- Build and maintain scalable, production-grade data pipelines and transformation processes.
- Develop dimensional data models to support reporting and analytics requirements.
- Manage and optimise Snowflake environments for performance and cost efficiency.
- Create and maintain data ingestion pipelines using Azure Data Factory (ADF).
- Implement data governance, security controls, and access management policies.
- Contribute to data engineering standards, best practices, and CI/CD processes.
- Collaborate with technical and non-technical stakeholders to deliver business-focused data solutions.
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.
Skills & Experience
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Strong experience in data engineering, data architecture, and data modelling.
- Hands-on expertise with Snowflake, including administration and performance optimisation.
- Experience using Azure Data Factory (ADF) for orchestration and data integration.
- Solid understanding of data warehousing and dimensional modelling principles.
- Experience creating enterprise data models, data dictionaries, and taxonomies.
- Ability to communicate complex technical concepts to business stakeholders.
- Experience within professional services or legal services environments would be advantageous.
“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