Identify optimization opportunities by working directly with enterprise customers and reading their workloads
Prototype features fast — proof-of-concept first, polish later
Run customer pilots: design the experiment, gather feedback, decide whether to iterate or kill
Take validated prototypes to GA: production-grade pipelines, APIs, infrastructure-as-code
Drive adoption of shipped features — onboarding, technical Q&A, troubleshooting
Investigate and resolve real-world data anomalies, pipeline issues, and BigQuery cost questions
Feed field signal into product direction

5+ years of software or data engineering experience
Deep BigQuery expertise — slots, reservations, pricing models, INFORMATION_SCHEMA, query optimization.
Strong SQL
Comfortable in backend code (any language)
Fluent with agentic coding tools (Claude Code, Cursor, Copilot, etc.) on real production work
Customer-facing instinct
Comfort with ambiguity
Autonomy
Strong plus: GCP cost management, FinOps, or query execution planning background
Experience taking a feature from blank page to GA, not just maintaining
Prior Solutions Architect, TAM, or Forward Deployed Engineer experience in the data space

maintain a healthy work-life balance with financial initiatives to support physical and mental health and green commuting, including support for remote work, commuting, and eyeglasses (depending on the location)
continuous training and learning opportunities with yearly allocated learning hours from working time, including language learning (English and German)
social activities for everyone (team building events, company breakfasts, Christmas, Halloween, and alumni parties, sport events, professional meetups, darts tournaments)
a great community and an international environment.

Bigquery Product Engineer

Key skills