Senior Data Analytics Engineer

ROLE OVERVIEW

• MariaDB wants a Senior Data Analytics Engineer who combines strong engineering with analytical depth. You join a small, high-impact team and do more than analyse data: you build the systems and pipelines that make analytics possible, from reliable pipelines in BigQuery and MariaDB to internal tools and APIs that put insight in front of the business.
• Day to day you write advanced SQL, build automation and tooling in Python and FastAPI, and use AI development tools such as Windsurf, Gemini and Claude as a core part of your workflow. The employer stresses deep understanding of data architecture: how data flows from source systems through pipelines into the warehouse, how schemas are designed, and how to keep infrastructure scalable and maintainable.
• You work closely with business stakeholders, turn complex data into clear actions, and own your domain end to end: define the right questions, build the data infrastructure, deliver the analysis and present it. The posting says it is not a 'dashboards-and-decks' role.

ABOUT THE EMPLOYER MariaDB describes its database as the backbone of everyday applications, used by companies including 75% of the Fortune 500, and positions itself as a leading database for modern application development.

KEY RESPONSIBILITIES

• Build and maintain analytical pipelines and reporting on BigQuery and MariaDB
• Write performant SQL over large-scale data
• Use AI/ML features to augment analytics
• Use AI development tools to accelerate delivery
• Develop internal tooling and automation in Python, FastAPI and modern frameworks