Requirements
- 7+ years of professional experience in data analytics engineering, data engineering, or a related field
- Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
- Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
- Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
- Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
- Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
- Excellent communication skills - you can explain complex analysis to anyone in the room
- Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
- Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
- A public GitHub profile with examples of your work (personal projects, contributions, experiments)
Nice to Have
- FastAPI experience for building internal APIs and services
- Background in business process design or operational analytics
- Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
- Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Benefits
- Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc.
- Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
- You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities.
- We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
- Salaries for candidates outside the U.S. will vary based on local compensation structures.
Work Arrangement
Hybrid
Team
Team size: small. Structure: high-impact team
Additional Information
- Travel - As required for the job (minimal).
