Gravitas Recruitment Group (Global) Ltd
Data Engineer (Azure)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Engineer
Location: Mainly remote, with monthly travel to Leeds/Bradford
Salary: Circa £55,000 + benefits
Type: Permanent | Full-time
The Opportunity
A forward-thinking organisation undergoing significant investment in its data and technology capabilities is seeking an experienced Data Engineer to join its growing team.
This is an excellent opportunity to play a key role in the evolution of a modern Azure-based data platform, supporting reporting, analytics, business intelligence, and emerging AI initiatives. You'll work closely with analysts, architects, engineers, and business stakeholders to deliver scalable, secure, and high-quality data solutions.
Key Responsibilities
- Design, develop and maintain scalable batch and real-time data pipelines.
- Build and optimise curated datasets for reporting, analytics and business insight.
- Develop integrations between enterprise systems and third-party platforms.
- Drive high standards of data quality, governance and documentation.
- Support deployment, monitoring and continuous improvement of data solutions.
- Troubleshoot complex platform issues and contribute to ongoing enhancements.
- Collaborate with technical and business teams to deliver impactful data projects.
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.
Essential Experience
- Proven experience building and supporting enterprise data platforms, data lakes and data pipelines.
- Strong Python development skills, including PySpark.
- Advanced SQL expertise.
- Hands-on experience with Azure technologies such as: Azure Data Factory, Azure Databricks, Synapse Analytics, Purview.
- Experience with CI/CD, DevOps practices and automated testing.
- Strong understanding of data governance, metadata management and data quality principles.
- Experience working in Agile environments.
- Excellent stakeholder management and communication skills.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable Experience
- Event-driven architecture and integration solutions.
- AI, machine learning or advanced analytics projects.
- Experience within large and complex organisations.
- Microsoft Azure or Data Engineering certifications.
What's on Offer?
- Opportunity to help shape a modern enterprise data platform.
- Exposure to cutting-edge Azure data technologies.
- A collaborative, data-driven culture with significant investment in technology.
- Strong career development opportunities.
- Hybrid working and competitive benefits package.
If this sounds like a good fit, apply today and one of the team will be in touch to discuss further!
“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