--- title: 'BI Integration Engineer at zaimler' canonical: 'https://feeny.ai/job/bi-integration-engineer-zaimler-bengaluru-e17pw5jbaxff' type: 'job' last_seen: '2026-09-08' --- # BI Integration Engineer at zaimler - **Company:** zaimler - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-14 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/zaimler/04ddccc0-34e1-4f30-9591-ff46dd428b89 ## Job description ## About zaimler AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk. ## The Role Many of our customers already run on Power BI and Microsoft Fabric, and they want to query zaimler's context layer directly from the tools their teams already use. We're looking for a BI Engineer to build that bridge: connecting zaimler's query engine to Power BI so customers can serve metrics, dashboards, and natural-language queries directly on top of it. You'll be exposing zaimler's query layer (including graph queries) in a form that Power BI and similar BI tools can consume, and building the plumbing that lets non-technical business users query zaimler through natural language and familiar BI interfaces. As the first dedicated BI hire in Bangalore, you'll work closely with zaimler's core query engineering team and directly with customers to shape how this integration works. There isn't an established BI team here yet, so you'll have real latitude to define it, while staying closely connected to engineering counterparts rather than working in isolation. ## What you'll do - Build integrations connecting zaimler's query engine to Power BI and Microsoft Fabric - Design and implement the query structures needed to serve metrics and analytics from zaimler through BI tools - Build hooks that let Power BI execute graph queries (e.g., Cypher) against zaimler's platform - Develop natural-language query capabilities so business users can query zaimler through familiar BI interfaces - Work directly with customers already on Power BI/Fabric to scope integration requirements and troubleshoot issues - Partner with zaimler's query engine team to expose the right primitives for BI-tool consumption ## What you bring - Strong, hands-on experience with Power BI, including building integrations or extensions, not just dashboards and reports - Experience with Microsoft Fabric - Strong query fundamentals: SQL and/or DAX, and comfort picking up graph query languages (e.g., Cypher) - Experience working across the boundary between a backend query engine and a BI/reporting tool - Comfort working directly with customers to scope integration requirements - Clear, direct communication. This is a founding hire, and communication gaps here are disqualifying ## Nice to have - Experience building custom connectors, plugins, or extensions for Power BI or other BI tools - Experience with graph databases or graph query languages (Cypher, Gremlin) - Experience building natural-language query interfaces, especially LLM-backed ones - Background at a Microsoft-partner consultancy or analytics firm serving enterprise clients ## What we offer - Work alongside engineers and researchers from LinkedIn, Visa, Meta, and Branch - An onsite, high-collaboration culture designed for deep technical work and fast iteration - Comprehensive benefits package (health insurance, meals, equipment, and other local perks) - A founding role shaping how zaimler integrates with the BI tools enterprise customers already use We value builders over résumés. If this role excites you but you don't check every box, we still want to hear from you. zaimler is an equal opportunity employer. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. We value builders over résumés. If this role excites you but you don't check every box, we still want to hear from you. zaimler is an equal opportunity employer. ## About zaimler ## Company Overview - **One-liner**: zaimler provides a unified data context and governance layer that enables enterprises to build deterministic AI agents by curating siloed data into a live, governed ontology. - **Entity Type**: Private (Seed stage; raised $10M) - **Headquarters**: San Mateo, California, USA - **Founded**: 2024 - **Founders**: Not publicly named (described as industry veterans with experience in data infrastructure and ML research) ## Core Business - **Primary industry/industries**: Data Infrastructure & Analytics, Enterprise AI - **Target customers**: B2B – large enterprises in insurance, travel, healthcare, and technology sectors - **Mission or purpose statement**: “Make your data AI ready” – one governed model over existing data, serving every agent, analyst, and application. ## Products & Services - **Platform**: The context and governance layer for agentic AI. Connects sources (ODS, lakehouses, systems of record), maps a unified model, and serves every workload from one foundation. - **Ontology**: Auto-inferred by a semantic analyzer, validated by the team. Reduces ontology-building from quarters to days. - **Explorer**: Natural-language query interface that traces every answer back to its source across all connected systems. - **Governance**: Single control plane for policy, lineage, and audit. Enforces access policies across every source without moving data. ## Market Standing - **Valuation/Market Cap**: Not disclosed (Seed stage, raised $10M) - **Key Metric**: Total funding of $10M (Seed round); signing 7-figure contracts with early enterprise customers. - **Notable Investors/Partners**: Not explicitly named in available sources; investors are likely venture firms (undisclosed). - **Growth Signals**: Team grew from 1 to ~12 employees (+150% YoY according to LinkedIn, though likely undercounted); hiring pace of 3 roles per 90 days; has significant traction with large contracts. ## Competitive Advantages - **Auto-inferred ontology**: Uses semantic analysis to automatically map business concepts, replacing manual, quarter-long ontology builds. - **Sovereign deployment**: Supports VPC, air-gapped, or on-prem deployments – critical for regulated industries. - **Real-time context update**: Changes in source systems are reflected live without data movement. - **Unified governance**: Access policies enforced from a single point of entry across all sources. ## Strategic Focus - **Current priorities**: Scaling the platform to serve more enterprise workloads; expanding go-to-market in insurance, healthcare, and travel verticals; building out the engineering team (Data Infrastructure Engineer, Forward Deployed Engineer, BI Engineer). - **Direction**: Becoming the standard infrastructure layer for agentic AI – enabling autonomous agents to reason over fragmented enterprise data with precision and trust. ## Why Work Here - **Culture**: Lean, high-impact team of 12-50 people with deep expertise in data infrastructure and ML research. Emphasis on solving hard problems for enterprise AI. - **Remote/Hybrid/Office**: Hybrid and on-site options depending on role: - San Mateo, CA – On-site (Data Infrastructure Engineer) - London, UK – Hybrid (Forward Deployed Engineer) - Bengaluru, India – On-site (BI Engineer) - **Notable perks**: Not detailed in sources, but working at an early-stage, well-funded AI infrastructure startup with proven founder pedigree and large customer traction offers significant equity upside and ownership. ## Sources 1. [zaimler.ai](https://zaimler.ai/) 2. [jobs.lever.co/zaimler](https://jobs.lever.co/zaimler) 3. [linkedin.com/company/zaimler](https://linkedin.com/company/zaimler) 4. [builtin.com/company/zaimler](https://builtin.com/company/zaimler) 5. [getclera.com/companies/zaimler-ai](https://www.getclera.com/companies/zaimler-ai) ## Other roles at zaimler - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-zaimler-london-bmnf4zwdetry) — London, United Kingdom - [Data Infrastructure Engineer (Query Engine)](https://feeny.ai/job/data-infrastructure-engineer-query-engine-zaimler-san-mateo-0v41r43srxm3) — San Mateo, CA - [Director of Marketing](https://feeny.ai/job/director-of-marketing-zaimler-san-mateo-nw9fjrradncn) — San Mateo, CA - [Head of Product](https://feeny.ai/job/head-of-product-zaimler-san-mateo-fm34fzygn69c) — San Mateo, CA - [Software Engineer in Test](https://feeny.ai/job/software-engineer-in-test-zaimler-bengaluru-vpb8vwf80z2g) — Bengaluru, India - [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-zaimler-bengaluru-88fze44c7c21) — Bengaluru, India - [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-zaimler-san-mateo-bakhw51wsntp) — San Mateo, CA - [Backend Engineer](https://feeny.ai/job/backend-engineer-zaimler-bengaluru-ddk4wnsf4vkj) — Bengaluru, India - [Cloud Infrastructure Engineer](https://feeny.ai/job/cloud-infrastructure-engineer-zaimler-bengaluru-hmf5pzhkerg9) — Bengaluru, India - [ML Infrastructure Engineer](https://feeny.ai/job/ml-infrastructure-engineer-zaimler-san-mateo-vtjvm5effrqe) — San Mateo, CA