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Job Overview
Location
Remote -- Romania
Job Type
Full-time
Category
Data Science
Date Posted
June 22, 2026
Full Job Description
đź“‹ Description
- • Design, build, and maintain scalable analytical pipelines and reporting solutions using BigQuery and MariaDB.
- • Write sophisticated, high-performance SQL queries leveraging joins, window functions, and CTEs to extract actionable insights from large-scale datasets.
- • Architect and develop internal tooling and automation systems using Python and FastAPI to enable data-driven decision-making across the business.
- • Integrate and leverage AI-powered development tools such as Windsurf, Gemini, Claude, and Cursor to accelerate workflow efficiency and enhance analytical output.
- • Apply AI/ML capabilities—including LLMs, generative AI, and embeddings—to augment analytics workflows and deliver smarter, automated insights.
- • Understand and document end-to-end data architecture, including data lineage, schema evolution, and flow between source systems, warehouses, and consumption layers.
- • Build data-facing web applications and internal dashboards using JavaScript to visualize and operationalize analytics for non-technical stakeholders.
- • Communicate complex analytical findings clearly and effectively to both technical and non-technical audiences to drive business decisions.
- • Own analytics initiatives end-to-end: from defining key questions and designing data infrastructure to delivering analysis and presenting results.
- • Proactively identify opportunities for operational improvements, better tooling, and deeper analytical insights across business functions.
- • Collaborate with cross-functional teams including Finance, Marketing, Sales, Operations, and Engineering to understand data needs and align analytics with business processes.
- • Maintain and improve data pipeline reliability, scalability, and maintainability to support growing organizational demands.
- • Contribute to business process design and optimization initiatives grounded in data-driven analysis.
- • Maintain a public GitHub profile showcasing personal projects, code contributions, and technical experiments that demonstrate engineering proficiency.
🎯 Requirements
- • 7+ years of professional experience in data analytics engineering, data engineering, or a related field
- • Expert-level SQL proficiency with hands-on experience in BigQuery and MariaDB
- • Strong Python skills for building pipelines, APIs, and automation tools; JavaScript experience for data-facing web applications
- • Deep understanding of data architecture, including data flow, schema design, and lineage
- • Hands-on experience with AI/ML technologies and practical application of LLMs and generative AI in analytics workflows
- • Proficiency with AI-powered development tools such as Windsurf, Gemini, Claude, or Cursor
- • Excellent communication skills to translate complex data into clear, actionable insights
- • Self-sufficient and self-managing with a track record of owning projects end-to-end
- • Ambitious and continuously improving, with a demonstrated habit of learning new tools and techniques independently
- • Public GitHub profile with examples of work
🏖️ Benefits
- • Competitive gross salary range of 160,000 - 200,000 RON per annum
- • 25 days paid annual leave plus public holidays
- • High degree of flexibility and freedom in work approach
- • Opportunity to collaborate with high-caliber global colleagues
- • Impactful work at a company powering 75% of Fortune 500 applications
- • Environment that encourages outside-the-box thinking and innovation
Skills & Technologies
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About MariaDB plc
MariaDB plc is the Ireland-based public company that develops and supports the open-source MariaDB database management system and related enterprise products. Formed from the original MySQL fork, it offers scalable relational, analytical and hybrid transactional/analytical processing solutions under both open-source and commercial licenses. The company provides cloud services, support, training and consultancy to organizations worldwide, focusing on performance, security and operational efficiency for modern applications.
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