MariaDB plc - Senior Data Analytics Engineer
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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 • js experience - ability to build 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 - 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) • public GitHub profile • 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 • Location – Romania (remote) • Location • Travel - As required for the job (minimal). • Travel
Responsibilities
• Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB • Write sophisticated, performant SQL to extract insights from large-scale datasets • Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs • Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level • Develop internal tooling and automation using Python, FastAPI, and modern frameworks • Communicate findings clearly to technical and non-technical stakeholders-translate data into action • Understand and document data architecture, lineage, and how information flows across systems • Collaborate on business process analysis and process design improvements driven by data • Proactively identify opportunities for deeper analysis, better tooling, and operational improvements
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.
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