Product Engineer, BigQuery

Rabbit - Product Engineer, BigQuery (Europe) - Aliz - Career Page Skip To Job Description

OUR STORY

We are Aliz

Aliz was founded by a group of driven software engineers with one vision in mind: Build a human-centered company to solve exciting business challenges with cutting-edge technologies all around the globe.

Our team includes engineers, industry experts, and digital professionals who ensure our clients are ready to face the challenges of the ever-changing digital world.

Aliz is a proud Google Cloud Partner with specializations in Infrastructure, Data Analytics, Cloud Migration, and Machine Learning. We deliver end-to-end cloud solutions, including infrastructure, data analytics, ML, and application development, off the shelf or custom-built on GCP using an agile, holistic approach.

Life has been pretty exciting at Aliz recently. We dealt with the Covid crisis and ended up even stronger both financially and team-wise. And we became Google Cloud’s Breakthrough Partner of the Year in APAC, built a team in Singapore and Berlin, opened an engineering hub in Jakarta, launched a business in Italy, and started to support IT education.

You couldn’t pick a better time to join this world-class team of cloud experts.

Rabbit - Product Engineer, BigQuery (Europe)

Hungary

Full Time

Product Development (Rabbit)

Experienced

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At Rabbit, the unit of value is shipped product, not lines of code. AI handles the typing. The scarce skill is deciding what to build, validating it with real customers, and getting it to GA. We’re hiring a Product Engineer who lives that loop on BigQuery — Rabbit’s primary optimization surface and the one our customers spend the most on.

Two responsibilities, one feedback loop

• Ship features end-to-end — bring the idea (or pick one off the shelf), prototype it, pilot with a handful of customers, iterate on real feedback, take it to GA.
• Customer success on what’s already shipped — help enterprise customers adopt existing Rabbit features, surface what’s missing, and unblock them when something breaks.

Initial domain

BigQuery cost optimization — slot management, reservation models, job-level optimization, query analysis at petabyte scale. As Rabbit’s optimization scope expands across GCP, so will yours.

What You’ll Actually Do

• 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

How We Work — AI-First, Agentic by Default

Rabbit is an AI-first company. Agentic development practices are mandatory, not optional — Claude Code, Cursor, and agent-driven workflows are how we move. We measure output in shipped features, not commits.

Builders, not coders. If you’re attached to writing every line yourself, this won’t fit. If you orchestrate AI agents to compress idea-to-prototype from weeks to hours, you’ll thrive. The role is about judgment — what to build, for whom, and when it’s good enough — not implementation.

You Should Have

Must-have

• 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

Why This Role

• Your ideas ship. No PoC graveyard. The optimization algorithm you prototype on Tuesday can be saving a Fortune 500 customer millions on Friday.
• Direct customer exposure. You see the impact of what you build, in dollars, on real workloads.
• Hard problems. BigQuery optimization at petabyte scale, real-time anomaly detection, cost prediction — unsolved at most companies. Not CRUD.
• End-to-end product ownership. You take features from idea to GA — shaping the problem, prototyping, validating with customers, and shipping to production. There’s a roadmap and a team behind it; your job is to own the features you take on, not to push tickets through a queue.
• AI-first leverage. You’ll work with the best agentic tools and a team that expects you to use them — your throughput compounds.

Why Join Rabbit

• Ownership from day one: Design your own pipelines, choose your own tools, architect your own solutions. We trust senior engineers and managers to make senior decisions
• Work with cutting-edge at scale: BigQuery optimization at petabyte scale, real-time anomaly detection, cost prediction algorithms — these are hard, unsolved problems.
• Learn and grow fast: Work alongside data architects and senior engineers who will challenge you. Shipping to Fortune 500 companies will level you up faster than any course ever could
• Not for everyone. Perfect for you if: You're driven by impact, not comfort. You'd rather tackle hard problems with smart people than easy problems alone. You want your work to matter.

In Return We Offer

• the opportunity to 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)

...last but not least, a great community and an international environment.

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About Aliz

Aliz was founded by a group of driven software engineers with one vision in mind: Build a human-centered company to solve exciting business challenges with cutting-edge technologies all around the globe.

Our team includes engineers, industry experts, and digital professionals who ensure our clients are ready to face the challenges of the ever-changing digital world.

Aliz is a proud Google Cloud Partner with specializations in Infrastructure, Data Analytics, Cloud Migration, and Machine Learning. We deliver data analytics, machine learning, infrastructure, and application development solutions, off the shelf, or custom-built on GCP using an agile, holistic approach. Recently we've launched our very own cloud cost optimization tool Rabbit.

Life has been pretty exciting at Aliz recently (here's proof). After we became Google Cloud’s Breakthrough Partner of the Year in APAC (2019), we built a team in Singapore and Berlin, opened an engineering hub in Jakarta, launched a business in Italy and Qatar, and started to support IT education.

You couldn’t pick a better time to join this world-class team of cloud experts.

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