How your CV stacks up
1Upload CV
2Analyse CV
3Improve CV
Upload your CV to see how well it fits this job role
?%
Data Scientist – Contract Position – HIRING ASAP
Location: Remote (EU or UK)
Start Date: ASAP
Duration: 12 months
Daily Rate: €300 per day (OUTSIDE IR35 if UK Based)
Requirements:
- 4+ years in data science, analytics engineering, or a closely related field, with demonstrated delivery of production-grade data and ML solutions.
- Hands-on experience with Microsoft Fabric, including OneLake, Lakehouses, Data Warehouses, and Power BI semantic models.
- Practical experience with Fabric IQ, specifically building or maintaining ontologies that define business entities, relationships, properties, rules, and actions, and aligning them with existing Power BI semantic models. (Note: ontology is currently in preview, so candidates from late-2025/2026 hands-on programs are realistic.)
- Experience designing, building, and publishing Fabric Data Agents, including the low-code experience and the Fabric Data Agent Python SDK; understanding that Data Agents operate under the end user's identity and respect underlying Fabric data permissions (Entra ID).
- Strong SQL and Python; familiarity with semantic modeling concepts (measures, hierarchies, dimensions).
- Understanding of data governance, lineage, and permissions-aware access in an enterprise context.
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.
Preferred / nice-to-have:
- Experience with Fabric Real-Time Intelligence (Eventhouse, live signals) and graph in Fabric for cross-domain reasoning.
- Familiarity with Operations Agents and human-in-the-loop approval patterns (e.g., Teams-based action approval, autonomous-rule promotion).
- Exposure to the broader Microsoft IQ context layer (Work IQ, Foundry IQ) and to exposing ontologies to external agents via MCP.
- Experience with NL2Ontology / natural-language querying over a semantic layer.
- Background treating the semantic layer as production infrastructure — versioning, testing, and governing ontologies with the same discipline as data pipelines.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Trusted by 25,000+ job seekers
“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
Data Science
Analytics Engineering
Microsoft Fabric
OneLake
Lakehouses
Data Warehouses
Power BI
Ontology Building
Fabric Data Agents
Python SDK
SQL
Semantic Modeling
Data Governance
Real-Time Intelligence
Graph in Fabric
Natural Language Querying