Time since we first saw it
Day 30
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
Remote - India
Live, first seen by us 30 days agoListed location: Remote - IndiaRead the full posting
MariaDB does not sponsor work visas or relocation
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
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
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 30
Similar jobs usually come down between day 6 and day 47.
From 1,409 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 - 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
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 Data Analytics Engineer jobs there since September 2026. All 2 are still up.
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.
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.
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
Requirements & Qualifications
Nice to Have
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
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).
No clear work-authorization passage found. Eligibility is unconfirmed.