Bigquery Product Engineer

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Aliz

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

🤖 Artificial Intelligence

🏢 Enterprise

Cloud Solutions • Artificial Intelligence • Enterprise

Aliz is a cloud solutions company that specializes in Google Cloud technologies, focusing on infrastructure, data analytics, machine learning, and application development. The company provides tailored solutions for businesses of all sizes, helping them leverage the power of the cloud to enhance their operations, optimize costs, and drive growth. With expertise in transforming data into actionable insights, Aliz is committed to supporting clients through their digital transformation journeys.

📋 Description

• 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

• 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. (Equivalent depth in another data warehouse plus willingness to ramp on BigQuery fast also works.) • 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

• 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)