Senior Data Analytics Engineer

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🕒 April 1

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MariaDB

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2009

🏢 Enterprise

Enterprise • Open Source • Database

MariaDB is a company that develops and provides an open-source cloud-native relational database solution. Known for its MariaDB Server and MariaDB Enterprise offerings, it delivers high availability, auto-failover capabilities, and supports both transactional and analytical workloads. MariaDB is favored for its flexibility, cost-effectiveness compared to proprietary databases, and support for various data models, including relational and JSON. It is widely used in Linux distributions as a replacement for MySQL and is popular among developers for its open-source innovation and ease of use.

📋 Description

• 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

🎯 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 • 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)

🏖️ Benefits

• 25 days paid annual leave (plus holidays) • Flexible work arrangements • Professional development opportunities