Principle
AI-Enabled Data Analytics Engineer
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
?%
12-month contract
£80,000 per annum Hybrid - 3 days per week in London
We are hiring an AI-Enabled Data Analytics Engineer to join a global technology organisation, building scalable data, analytics and AI-assisted automation solutions that improve business decision-making.
This is a hands-on engineering role for someone strong in Databricks, SQL and Python who is already using tools such as Claude Code, Cursor, GitHub Copilot or ChatGPT to accelerate development.
You won't just use AI-generated outputs - you'll be expected to validate, challenge and improve them, ensuring solutions are technically accurate, reliable and relevant to the business.
What you'll be doing
- Design, build and optimise data pipelines and analytics solutions using Databricks
- Develop SQL, Python and PySpark solutions for transformation, analytics and automation
- Build and improve AI agents, reusable workflows, prompt templates and automation solutions
- Use AI development tools for coding, debugging, testing, documentation and code review
- Apply prompt engineering and context engineering to improve the reliability of AI-generated outputs
- Validate AI-generated code, analysis and recommendations before production/business use
- Build and maintain documentation, context files, knowledge sources and business rules governing AI behaviour
- Partner with stakeholders to translate business requirements into scalable data and AI solutions
- Maintain strong standards around data quality, governance and performance
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.
What we're looking for
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- 3+ years' experience across Analytics Engineering, Data Engineering or Data Analytics
- Strong hands-on Databricks
- Advanced SQL
- Strong Python
- Experience with ETL/ELT, data modelling and data pipelines
- Practical experience using AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot or ChatGPT
- Exposure to AI agents, prompt engineering or context engineering
- Strong understanding of data quality and governance
- Ability to independently review and validate AI-generated outputs
- Strong stakeholder communication and problem-solving skills.
Contract Benefits
- 33 days annual paid leave including bank holidays
- 35-hour working week
- 3% pension
Please apply directly to be considered.
“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