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MariaDB is seeking a Senior Data Analytics Engineer to join a small, high-impact team. You'll combine strong engineering skills with analytical depth, building systems and pipelines that make analytics possible across the full stack—from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that deliver insights to the business.
Day-to-day responsibilities include writing sophisticated SQL in BigQuery and MariaDB, architecting and building automation and tooling in Python and FastAPI, and leveraging AI-powered development tools (Windsurf, Gemini, Claude, Cursor) as a core part of your workflow. You'll design, build, and maintain analytical pipelines and reporting solutions; write performant SQL to extract insights from large-scale datasets; develop internal tooling and automation; and communicate findings clearly to both technical and non-technical stakeholders.
You'll own your domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. This role requires deep understanding of data architecture—how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable. You'll also collaborate on business process analysis and process design improvements driven by data, and proactively identify opportunities for deeper analysis, better tooling, and operational improvements.
MariaDB's database is the backbone of applications used by billions of people daily, with 75% of the Fortune 500 running MariaDB. You'll be collaborating with high-caliber colleagues around the world in a game-changing organization that encourages outside-the-box thinking and values empowerment.
**Requirements:**
- 7+ years of professional experience in data analytics engineering, data engineering, or a related field
- Expert-level SQL with proficiency 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)
- JavaScript experience for building data-facing web applications and internal dashboards
- Deep understanding of data architecture: how databases are structured, how data flows, how schemas evolve
- Hands-on experience with AI/ML—stay current with latest capabilities (LLMs, generative AI, embeddings) and apply them practically
- Proficiency with AI-powered development tools (Windsurf, Gemini, Claude, Cursor, or similar); use AI to multiply output, not as a crutch
- Excellent communication skills—explain complex analysis to anyone in the room
- Self-sufficient and self-managing—own work end-to-end without needing direction
- Ambitious and continuously improving—seek out new skills, tools, and techniques independently
- 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)
- Understanding of Docker and Kubernetes—containerization and cluster orchestration experience
