(Senior) Analytics Engineer (f/m/d)

bunch https://www.bunch.capital/ is building the backbone of private markets. We are enabling next-gen fund operations with one integrated system that combines secure data infrastructure, AI-powered workflows and expert fund services. If you value ownership, growth through real responsibility, and working with a thoughtful, ambitious team, this role might be for you. YOUR ROLE As a (Senior) Analytics Engineer at bunch, you'll own our data stack end to end, from ingestion to the semantic layer. It feeds our business intelligence and product analytics today, with embedded analytics likely next. You will: - Own data modeling and the semantic layer everything else is built on - Move every remaining pipeline onto dlt, in Python you control - Make the stack reliable by default: scheduling, monitoring, infrastructure as code - Run our self-hosted Lightdash, down to the deployment - Make conversational analytics work, so people can ask in plain language and trust the answer ABOUT YOU - Experience: 4+ years in analytics or data engineering, ideally somewhere you owned the whole stack - Modeling: you have real opinions on dimensional modeling, layering and contracts - dbt: you know dbt past writing sql models, so materializations, incremental strategies, macros, CI, and where it breaks - Python: production-quality, with a proper understanding of ingestion (APIs, pagination, incremental loads, schema drift). dlt experience is a bonus - Infrastructure: comfortable owning deployed infra, scheduling with Airflow, Dagster or similar is a plus - Pragmatic: you start from what the business needs and you know when good enough is good enough OUR TECH STACK - Data warehouse: BigQuery - Transformation: dbt - Data ingestion: dlt - BI / semantic layer: Lightdash - Event tracking: PostHog WORKPLACE & BENEFITS - Customizable benefits package (wellbeing, sport, mobility, food, and more) - 28 days of vacation, plus 2 company days and local public holidays - Remote-flexible hybrid (3 days/week