Timbr Data Engineer

We are seeking a Timbr Specialist to design, implement, and optimize semantic SQL ontologies for enterprise BI and AI workflows. The role involves bridging raw data with business concepts, enabling consistent KPI governance, advanced analytics, and AI agent integration.

Key Responsibilities

• Semantic Modeling Build and maintain Timbr ontologies to unify data across multiple sources.
• BI Integration – Connect Timbr with BI tools (Power BI, Tableau, Looker) for semantic querying and dashboard consistency.
• AI Enablement – Support AI/ML teams with NL2SQL, graph analytics, and ontology-driven agent workflows.
• Governance & Access – Implement Timbr Access Manager for role-based permissions and KPI governance.
• Collaboration – Partner with data engineers, BI analysts, and product owners to ensure semantic consistency across projects.

Mandatory Skills

• Timbr Semantic SQL – Hands-on experience with Timbr’s ontology-based semantic layer.
• SQL & Data Modeling – Strong background in relational databases, semantic SQL, and ontology design.
• BI Tools – Proficiency in Power BI, Tableau, or Looker with semantic integration.
• Graph Analytics – Experience with knowledge graphs, NL2SQL, or AI-driven querying.
• Cloud Platforms – Familiarity with GCP, AWS, or Azure for data pipelines and integration.

Preferred Skills

• AI Agents – Exposure to agentic AI workflows leveraging Timbr ontologies.
• ETL/Data Pipelines – Experience in building scalable pipelines for semantic data integration.
• KPI Governance – Knowledge of enterprise KPI management and semantic consistency.

Qualifications

• Bachelor’s/Master’s in Computer Science, Data Engineering, or related field.
• 5+ years in data engineering, BI, or semantic modeling roles.
• Proven track record of implementing semantic layers in enterprise environments.