Senior Analytics Engineer

• 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
• 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
• Our tech stack
• Data warehouse: BigQuery
• Transformation: dbt
• Data ingestion: dlt
• BI / semantic layer: Lightdash
• Event tracking: PostHog

Benefits

• Benefit from working with a diverse mix of talents, unrivalled energy and team spirit within a culture of inclusion
• Additional benefits in the areas of mobility, food, education, and health
• Flexible hours, remote work, and 28 days of vacation per year- Infrastructure: comfortable owning deployed infra, scheduling with Airflow, Dagster or similar is a plus
• Modeling: you have real opinions on dimensional modeling, layering and contracts
• Python: production-quality, with a proper understanding of ingestion (APIs, pagination, incremental loads, schema drift). dlt experience is a bonus
• Pragmatic: you start from what the business needs and you know when good enough is good enough
• Experience: 4+ years in analytics or data engineering, ideally somewhere you owned the whole stack
• Dbt: you know dbt past writing sql models, so materializations, incremental strategies, macros, CI, and where it breaks- Screening Interview (30 min) with our People Team to get to know each other
• Technical Interview (60 min): a live SQL exercise and a design discussion
• Deep Dive (45 min): your track record and how you work
• Final Round (30 min): culture, growth, and strategic fit