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Aliz

BigQuery Product Engineer

Aliz

Product Engineer for BigQuery optimization at Rabbit, shipping features from idea to production. Engage with enterprise customers, ensuring successful adoption of data solutions.

Posted 6/13/2026full-timeRemote • 🇭🇺 HungaryMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
BigQueryGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact
  • 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 — you’ll have more customer context than anyone.

Requirements

What you’ll need
  • 5+ years of software or data engineering experience — you’ve shipped real features to real users
  • Deep BigQuery expertise — slots, reservations, pricing models, INFORMATION_SCHEMA, query optimization. Hard requirement; we’ll test for it.
  • Strong SQL
  • Comfortable in backend code (any language) — you’re not afraid to jump in when needed
  • Fluent with agentic coding tools (Claude Code, Cursor, Copilot, etc.) on real production work — not just demos
  • Customer-facing instinct — you can run a technical conversation with an enterprise team without an Account Executive holding your hand
  • Comfort with ambiguity — you’ll often define the problem before solving it
  • Autonomy — small team, no middle management, you own outcomes
  • 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.

Benefits

Comp & perks
  • the opportunity to maintain a healthy work-life balance with financial initiatives to support physical and mental health and green commuting
  • 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
BigQuerySQLbackend codingquery optimizationinfrastructure-as-codedata engineeringfeature prototypingproduction-grade pipelinescustomer pilotsdata anomaly investigation
Soft Skills
customer-facing instinctcomfort with ambiguityautonomytechnical Q&Atroubleshootingfeedback gatheringiteration decision-makingdriving feature adoptionproblem definitioncommunication