Senior Data Analytics Engineer

MariaDB
Sofia
Workplace: HybridFull timeEUR 30,000 - 38,500 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Communication","Self-sufficient","Self-managing","Continuous improvement","Stakeholder collaboration"]

Build end-to-end analytics infrastructure for MariaDB’s business stakeholders. Design and maintain BigQuery and MariaDB data pipelines and reporting solutions, write sophisticated SQL for large-scale insights, and develop internal tools and APIs using Python and FastAPI. Apply AI/ML features and use AI-powered development tools to accelerate delivery, while owning data architecture, lineage, and communication of actionable findings.

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FursaFursa
MariaDB
MariaDB
4 days ago

Senior Data Analytics Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build end-to-end analytics infrastructure for MariaDB’s business stakeholders. Design and maintain BigQuery and MariaDB data pipelines and reporting solutions, write sophisticated SQL for large-scale insights, and develop internal tools and APIs using Python and FastAPI. Apply AI/ML features and use AI-powered development tools to accelerate delivery, while owning data architecture, lineage, and communication of actionable findings.
Location: Sofia
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

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 outputs.
  • •Develop internal tooling and automation using Python and FastAPI, including APIs.
  • •Document and communicate data architecture, lineage, and insights to technical and non-technical stakeholders.
Travel: Low travel

Pay and Benefits

Salary: EUR 30,000 - 38,500 annually
Perks:Paid Leave

Key Requirements

  • •7+ years of professional experience in data analytics engineering, data engineering, or a related field.
  • •Expert-level SQL with strong BigQuery and MariaDB experience (joins, window functions, CTEs).
  • •Strong Python and/or JavaScript skills to build pipelines, internal tools, and APIs.
  • •Deep understanding of data architecture, including schemas, pipelines, and how data flows from sources to the warehouse.
  • •Hands-on experience with AI/ML and proficiency using AI-powered development tools (Windsurf, Gemini, Claude, Cursor, or similar).
Experience:Data engineeringData analyticsAI/MLAnalytics infrastructure
Skills:CommunicationSelf-sufficientSelf-managingContinuous improvementStakeholder collaboration
Languages:English
Tech Stack:SQLBigQueryMariaDBPythonFastAPIJavaScriptAI/MLLLMsGenerative AIEmbeddingsWindsurfGeminiClaudeCursorGitHubAPIs

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

MariaDB
Provides an open-source relational database platform and enterprise-grade database solutions, offering MariaDB Server, MariaDB SkySQL (DBaaS), and tools for high-performance, scalable data management and analytics.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Funding: Series C
Headquarters: Helsinki, Finland
Founded: 2009
WebsiteLinkedIn