BI Engineer (Hybrid or Onsite)
Core
Design and optimize data foundations for advanced analytics, AI, and agentic capabilities by building semantic models and preparing AI-ready datasets.
Role type
BI Engineer (AI/ML focus)
Builds
Semantic models, AI-ready datasets, and optimized data layers for LLM-driven insights.
Domain
Fintech / Payments / Banking
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, KQL, DAX, Power BI, Python, data modeling, versioning, Git, CI/CD
Preferred skills
NoSQL databases, cloud platforms (Azure, GCP, AWS), ML/agentic pipelines
Technologies
Power BI, SQL Server, MySQL, MongoDB, CouchDB, Azure, GCP, AWS
Responsibilities
Design semantic models supporting Power BI and LLM inputs; Optimize existing Power BI semantic models; Prepare AI/LLM-ready datasets; Own and evolve Silver and Gold data layers.
Seniority
Mid-level, hands-on IC
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