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.
Location: Berlin, Germany (or remote within the EU, with preference for proximity to Berlin)
Your Impact
- Design and own a governed semantic layer that encodes emnify's business logic — SIM lifecycle, churn, usage, unit economics — as reliable, well-documented data products
- Build and productionize AI-powered analytics experiences (text-to-SQL, RAG, analytics assistants), grounded in trusted business definitions rather than AI interpretation of raw data
- Make AI answers trustworthy through evaluation frameworks, regression testing, and monitoring — the biggest risk is not visible failure but confidently incorrect answers
- Raise analytics engineering standards: modeling practices, data quality, governance, mentoring, and design review
- Partner with product and leadership to identify high-value AI analytics opportunities and turn experiments into durable platform capabilities
Your Skills
- Proven experience designing and operating semantic layers, metrics models, and dimensional models in a modern stack, with production-grade SQL and strong Python
- Hands-on experience applying LLMs to data and analytics use cases — combining retrieval, structured context, and validation to produce reliable answers — with a clear understanding of prompting, context engineering, and failure modes
- Experience building trusted data products through testing, documentation, ownership, contracts, and lineage — with pragmatic governance that keeps teams fast
- An AI-native engineering mindset: you use AI-assisted development tools daily and combine that acceleration with rigorous validation and review
- Clear communication and product thinking — translating business needs into scalable data solutions and influencing direction across teams
Nice to have: experience in SaaS, usage-based businesses, telecom, or IoT.
Skills Required
- Design and operate governed semantic layers, metrics models, and dimensional models
- Production-grade SQL expertise
- Strong Python programming skills
- Hands-on experience applying LLMs to data and analytics (text-to-SQL, RAG, retrieval, context engineering)
- Experience building reliable AI/data workflows combining retrieval, structured context, and validation
- Experience building trusted data products with testing, documentation, ownership, contracts, and lineage
- Familiarity with modern analytics stack (Lakehouse on S3, StarRocks, Fivetran, Kafka, dbt Core, Superset, AWS/EKS)
- AI-native engineering mindset and rigorous validation/review practices
- Clear communication and product thinking to translate business needs into scalable data solutions
- Experience in SaaS, usage-based businesses, telecom, or IoT
- Based in or near Berlin (preferred) or remote within the EU
What We Do
emnify is the leading cloud building block for cellular communications in the IoT stack, connecting millions of IoT devices globally – from electric vehicles to energy meters, alarm systems to GPS trackers, thermometers to health wearables. The emnify API and SIM technology connect and secure any kind of IoT deployment to its application back-end. emnify’s cloud-native integrations and no-code workflows ensure seamless lifecycle scalability for deployments of all sizes – from local start-up to global enterprise. The emnify IoT SuperNetwork is the largest globally distributed mobile cloud core network of its kind, supporting local network access (2G – 5G, LTE-M, NB-IoT) in over 180 countries from more than 25 cloud regions – and counting. emnify’s solution is built on partnerships with the leading hyperscaler cloud service providers, system integrators and hundreds of radio network operators worldwide. Founded in 2014, emnify was the first to transform cellular IoT connectivity into an easy-to-consume cloud resource – trusted today by thousands of the world’s most innovative companies. To learn more about emnify, please visit www.emnify.com
