MP
Senior Analytics AI Platform Engineer
Contract type
Ongoing
Work mode
Remote · India
Experience
Senior · 7+ years
Job description
A hands-on Senior Analytics AI Platform Engineer role at MariaDB plc, building end-to-end analytical solutions, data pipelines, and tooling across BigQuery, MariaDB, and Python, augmented by AI-powered development tools. The role turns complex data into clear business insights and supports company-wide decision-making.
At a glance
- Work mode
- Remote · India
What you'll do
- Apply the right analytical methods—statistical analysis, regression, clustering, forecasting, classification—to solve real business problems at scale
- Design and build end-to-end analytical solutions—from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
- Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
- Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
- Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
- Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
- Own the data architecture decisions within your domain—schema design, data modeling, and pipeline reliability
- Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
- Map and improve business processes through data-driven analysis and process design
What we're looking for
- 7+ years of professional experience in data science, advanced analytics, or a quantitative field
- Expert-level SQL—deep fluency in BigQuery and MariaDB or similar data platforms; understanding of query optimization, partitioning, and data modeling
- Strong Python and/or JavaScript skills—production-quality code, not just notebooks; experience with modern data and ML libraries
- Deep understanding of analytical methods—regression, clustering, time series, A/B testing, classification; knowing when to apply what and why
- Solid understanding of data architecture—how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
- Proficiency with AI-powered development tools—Windsurf, Gemini, Claude, Cursor, or similar; leveraging AI assistants as a core part of the workflow
- Excellent communication skills—presenting complex technical work in a way that drives decisions
- Self-managing and self-sufficient—setting own priorities, unblocking yourself, and delivering without hand-holding
- Relentlessly curious and ambitious—always learning, always building, always improving
- A public GitHub profile showcasing projects, experiments, or contributions
Nice to have
- Experience with Next.js or modern frontend frameworks for building data-facing applications
- FastAPI experience for serving models or internal tooling
- Background in business process analysis or operational process design
- Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering)
- Experience with JSON-based data formats, APIs, and integration patterns
- Understanding of Docker and Kubernetes—containerization and cluster orchestration experience
Benefits
- Globally distributed team environment
- Remote or hybrid work options (location-dependent)
- Challenging projects with company-wide impact
- Competitive compensation, 25 days paid annual leave, plus holidays
- A culture that values curiosity, clean engineering, and people who genuinely love what they do
Apply
About MariaDB plc
MariaDB is the backbone of applications used every day, from banking and shopping to phone calls and music streaming. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
Key facts
- Database software
- 75% of the Fortune 500 run MariaDB
- Massive reach through Linux distributions, enterprise deployments and public clouds
- Globally distributed team environment
What they value
- Curiosity
- Clean engineering
- Empowerment
- Outside-the-box thinking
- People who genuinely love what they do