Time since we first saw it
Day 204
Up longer than most. Similar jobs usually come down between day 5 and day 41.
From 10,578 similar postings that came down. Coming down is not always a hire.
Remote - India
Open 6 months, first seen by us 204 days agoListed location: Remote - IndiaRead the full posting
MariaDB does not sponsor work visas or relocation
We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights.
You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization.
Build end-to-end analytical solutions from data extraction to automated reporting
Apply statistical, regression, clustering, forecasting and classification methods to business problems
Develop and maintain data pipelines and tooling in Python and SQL
Build lightweight applications and APIs (FastAPI) to deliver models to stakeholders
Own data architecture decisions in your domain, including schema design and pipeline reliability
We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.
You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.
Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
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
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 204
Up longer than most. Similar jobs usually come down between day 5 and day 41.
From 10,578 similar postings that came down. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand 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; you know when to apply what and why
We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions. This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question. You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.
- 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
- 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; you understand 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
- 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
- Experience with JSON-based data formats, APIs, and integration patterns - Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Benefits & Culture
- 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
- 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
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Senior Analytics AI Platform Engineer jobs there since April 2026. All 2 are still up.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. 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.
About the Role
We're hiring a Senior Analytics AI Platform Engineer with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.
This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.
You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.
Key Responsibilities
Requirements & Qualifications
Nice to Have
Benefits & Culture
Location – India (remote)
Travel – Flexible for adhoc travel
What's in it for you?
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.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Remote - India
- Globally distributed team environment - Remote or hybrid work options (location-dependent) - Challenging projects with company-wide impact
- A culture that values curiosity, clean engineering, and people who genuinely love what they do Location – India (remote) Travel – Flexible for adhoc travel
No clear work-authorization passage found. Eligibility is unconfirmed.