or apply directly on MariaDB plc's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days MariaDB plc's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 17% of MariaDB plc's roles list one
- Ghost-job risk at MariaDB plc
- high 7 stale, 1 reposted of 18 open
- Hiring momentum
- 37 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from MariaDB plc's own greenhouse board since 2026-08-03. Full hiring picture for MariaDB plc.
About this role
As a Senior Data Analytics Engineer at MariaDB, you will design and build analytical pipelines and reporting solutions using BigQuery and MariaDB. Your role involves writing complex SQL, developing internal tools with Python and FastAPI, and leveraging AI-powered tools to enhance analytics workflows. You will also communicate insights to stakeholders and ensure robust data architecture and infrastructure are in place.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of MariaDB plc as an employer.
What you need
- 7+ years of professional experience in data analytics engineering, data engineering, or a related field
- Expert-level SQL skills with experience in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
- Strong Python and/or JavaScript skills for building pipelines, internal tools, APIs, and automation
- Deep understanding of data architecture, including database structure and data flow
- Hands-on experience with AI/ML and current capabilities
- Proficiency with AI-powered development tools like Windsurf, Gemini, Claude, Cursor, or similar
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)
- Understanding of Docker and Kubernetes
What you get
- 25 days paid annual leave (plus holidays)
- Very competitive compensation package
- Massive degree of flexibility and freedom
- Unparalleled learning and growth opportunities
Worth weighing
- Salary range provided is specific to candidates outside the U.S. and may vary based on local compensation structures
- No mention of relocation or visa sponsorship available
- Role requires strong self-management and independence, which may not suit everyone
Summarised from MariaDB plc's posting. Read the full original.
Listed by MariaDB plc on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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