Back to jobs

Senior Analytics AI Platform Engineer

Pay
Pay not listed
Work setting
Remote — work setting source
Listed location: Remote - India
Read the full posting
Employment
Not stated

Before you apply

Work authorization
Must already have the right to workMariaDB does not sponsor work visas or relocation

What you’ll work on

Full posting

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

From the employer’s posting
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
Apply at MariaDB

Posting record

Report an error

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.

Status in our records
Live
First seen by us
Apr 14, 2026204 days ago
Recorded sightings
167
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

MariaDB is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

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.

  • JavaScript
  • Python
  • SQL
  • BigQuery
  • Docker
  • Kubernetes
  • FastAPI
Where the posting names them
- 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

Your next step

Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Has MariaDB posted this job before?

Yes. We’ve followed 2 other Senior Analytics AI Platform Engineer jobs there since April 2026. All 2 are still up.

  1. Place not statedStill up after 204 days, first seen Apr 14
  2. Place not statedStill up after 204 days, first seen Apr 14
  3. This jobUp 204 days so far, first seen Apr 14

About the role

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.

Job description

View original posting ↗

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

  • 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

Requirements & Qualifications

  • 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
  • Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know 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; you leverage AI assistants as a core part of your workflow
  • Excellent communication skills - you present complex technical work in a way that drives decisions
  • Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
  • Relentlessly curious and ambitious - you're always learning, always building, always improving
  • A public GitHub profile showcasing your 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) - broad organizational exposure is a big plus
  • 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

  • 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

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.

  • At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
  • MariaDB does not sponsor work visas or relocation.
  • MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
  • MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Remote - India

- Globally distributed team environment - Remote or hybrid work options (location-dependent) - Challenging projects with company-wide impact
More source context
- A culture that values curiosity, clean engineering, and people who genuinely love what they do Location – India (remote) Travel – Flexible for adhoc travel
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.