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Senior Data Analytics Engineer

Pay
Pay not listed
Work setting
Remote — work setting source
Listed location: Remote - India
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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 looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth.

Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work.

  • Design, build, and maintain analytical pipelines and reporting on BigQuery and MariaDB

  • Write sophisticated, performant SQL to extract insights from large datasets

  • Develop internal tooling and automation using Python and FastAPI

  • Document data architecture, lineage, and how information flows across systems

  • Communicate findings to technical and non-technical stakeholders

From the employer’s posting
We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.
Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
Write sophisticated, performant SQL to extract insights from large-scale datasets
Develop internal tooling and automation using Python, FastAPI, and modern frameworks
Understand and document data architecture, lineage, and how information flows across systems
Communicate findings clearly to technical and non-technical stakeholders-translate data into action
Apply at MariaDB

Posting record

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Status in our records
Live
First seen by us
Oct 5, 202630 days ago
Recorded sightings
26
Last seen by us
Nov 4, 2026
Employer says posted
Sep 30, 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 30

Similar jobs usually come down between day 6 and day 47.

From 1,411 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
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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 - 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 - js experience - ability to build data-facing web applications and internal dashboards
- Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts - js experience - ability to build data-facing web applications and internal dashboards - Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business. Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable. Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.
- 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
- 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
- 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
About the Role We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business. Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Key Responsibilities - Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB - Write sophisticated, performant SQL to extract insights from large-scale datasets
- Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo - Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Location – India (remote)
Nice to Have - FastAPI experience for building internal APIs and services - Background in business process design or operational analytics

Your next step

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Has MariaDB posted this job before?

Yes. We’ve followed 2 other Senior Data Analytics Engineer jobs there since September 2026. All 2 are still up.

  1. Place not statedStill up after 61 days, first seen Sep 4
  2. Place not statedStill up after 61 days, first seen Sep 4
  3. This jobUp 30 days so far, first seen Oct 5

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

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 everyday. 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 looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.

Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.

Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.

Key Responsibilities

  • 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
  • Proactively identify opportunities for deeper analysis, better tooling, and operational improvements

Requirements & Qualifications

  • 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
  • js experience - ability to build data-facing web applications and internal dashboards
  • 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; you use AI to multiply your output, not as a crutch
  • 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)

Nice to Have

  • FastAPI experience for building internal APIs and services
  • Background in business process design or operational analytics
  • Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
  • Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Location – India (remote)

Travel - As required for the job (minimal).

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.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

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.
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Location & working pattern

Remote - India

- Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Location – India (remote) Travel - As required for the job (minimal).
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