Job
In this role, you build analytical query engines for real-time analytics and develop AI-powered reporting workflows that convert natural language into precise SQL queries.
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Job technologies
Your role in the team
- Build Analytical Query Engines: Connect our transactional backends (MongoDB) with modern analytical event stores (ClickHouse) to support sub-second aggregations across millions of ticket transactions.
- Implement AI Retrieval & Reporting Workflows: Build and deploy Retrieval-Augmented Generation (RAG) pipelines, semantic parsers, and agentic query supervisors that convert natural language prompts into deterministic, accurate SQL and aggregation queries.
- Maintain Low-Latency Reporting APIs: Write high-performance production services in Go or TypeScript/Node.js that power real-time reporting dashboards for global organizers without degrading transactional processing.
- Centralize Data Flows & Auditing: Partner with platform and security teams to build clean data schemas, strict audit trails, and automated evaluation suites that catch hallucinated data or metric drifts before they reach clients.
- Sprint Scoping & Architecture: Collaborate directly in monthly in-person architecture sessions in Frankfurt alongside the VP of Engineering, CTO, and engineering leads to define technical milestones.
Our expectations of you
Qualifications
- Event-Driven Architectures: Strong understanding of distributed message streaming using Kafka, RabbitMQ, or cloud pub/sub mechanisms.
- Pragmatic mindset: High autonomy and resourcefulness—you choose reliable, deterministic validation layers and battle-tested databases over fragile AI hype.
Experience
- 5+ years of hands-on experience building high-throughput, distributed production services using Go, Python, or TypeScript/Node.js.
- Analytical Warehousing Experience: Direct, hands-on production experience with ClickHouse (or closely related low-latency analytical engines like DuckDB, Snowflake, or Apache Pinot) for high-volume event streams.
- Database Mastery: Solid practical experience with both document/NoSQL stores (MongoDB) and relational engines (PostgreSQL).
- Production AI / RAG Engineering: Proven experience deploying production RAG systems, function calling, evaluation frameworks, and supervisor architectures (e.g., LangGraph, LlamaIndex, or custom orchestration layers).
What we offer
- Play a mission-critical role for global brands, redefining fan experiences from festivals to major sporting events.
- We scale sustainably on a profitable, VC-backed foundation with true product-market fit.
- Collaborate with over 160 dedicated professionals, including leaders from Google, Slack, and Salesforce.
- We're a diverse, merit-driven team spread across six global offices.
- Sifted consistently ranks us among the fastest-growing scale-ups in Europe.
- Work alongside some of tech's brightest minds—from Forbes 30 Under 30 founders to Executive of the Year award winners.
Topics you will work on
Job locations
About your employer
vivenu GmbH, based in Düsseldorf, develops a modular and customizable ticketing platform. It serves international clients such as FC Schalke 04 and the Grammys and has offices in Germany and worldwide. The company is experiencing rapid growth and places a strong emphasis on innovation and customer support.
- Startup
- Onsite, Hybrid
- Internet, IT, Telecommunication
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