We’re GoodData, a cloud analytics company helping businesses turn data into decisions. Our backend team is looking for a Senior Engineer who’s into clean code, smart architecture, and data processing at scale.
What you'll be doing:Building a fast, distributed query engine using Kotlin and Apache Calcite
Developing an internal query language (MAQL) - parsing and transpiling into SQL
Developing and maintaining distributed microservices
Solving complex data challenges (data fetching, data processing, data transfer, etc.) with modern tools like Arrow, DuckDB, Pandas, and Polars
Designing APIs, writing test-driven code, and shaping product direction with your team
Collaborating with Product, QA, and Architects in a product-focused engineering team
Kotlin (mainly), Python, Calcite, Arrow, DuckDB, Polars, SQL, Docker, Kubernetes, Linux, Git
We’d love if you:Have strong coding and problem-solving skills
Know your way around SQL, distributed systems, and relational models
Have experience with Kotlin or Java
Are curious, independent, and care about clean, testable design
Apache Calcite/Arrow, Python, Kubernetes, gRPC, protocol buffers, frontend interest (TS/JS), BI/Big Data experience
Work from Brno, Prague, or hybrid – flexible setup, great team, real impact.
About GoodDataAt GoodData, we’re building the future of agentic AI for data intelligence.
Our full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData, organizations don’t just analyze data, they monetize it.
But what really sets GoodData apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.
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Top Skills
What We Do
At GoodData, we help companies turn data into insights. Our leading composable data and analytics platform gives our customers the flexibility to build and scale any of their data use cases — from self-service and embeddable analytics, to machine learning and IoT — all while maintaining the performance, cost-efficiency, and easy change management of a central and integrated solution.
