At emnify, we believe the future of analytics is conversational: customers and teams should be able to ask questions in plain language and receive answers that are correct, governed, and explainable. As our Staff Analytics Engineer, you will build the foundation that makes this possible — the semantic layer, metrics, and engineering practices that let both humans and AI systems query our data reliably. AI provides speed; strong foundations provide trust.

You will work closely with data engineering, product, and leadership while remaining hands-on throughout. Our analytics environment includes: Lakehouse on S3 with StarRocks as the analytical engine Fivetran and kafka sync for ingestion, dbt core for transformations, Superset for BI AWS infrastructure (EKS) On this foundation, you will build the semantic layer and LLM-powered workflows such as text-to-SQL and RAG. Our flexible work model includes monthly in-person workshops.

Candidates based in Berlin or nearby cities are preferred.

Nice To Have

: experience in SaaS, usage-based businesses, telecom, or IoT.

Staff Analytics Engineer – AI-Powered Analytics