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1 месяц назад

Senior Data Analytics Engineer (AI)

30 000 - 38 500€
Формат работы
remote (только Bulgaria)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Analytics Engineer (AI): Building analytical pipelines, reporting solutions, internal tools, and APIs across BigQuery and MariaDB with an accent on SQL performance, data architecture, and AI-augmented analytics. Focus on designing scalable data infrastructure, automating workflows with Python and FastAPI, and translating complex datasets into actionable business insights.

Location: Bulgaria; hybrid work in Sofia. Minimal travel as required.

Salary: €30,000–€38,500 gross per annum.

Company

hirify.global develops database technology used by enterprises, public clouds, Linux distributions, and modern applications worldwide.

What you will do

  • Design, build, and maintain analytical pipelines and reporting solutions using BigQuery and hirify.global.
  • Write sophisticated, performant SQL for large-scale datasets and analytical insights.
  • Develop internal tooling, automation, APIs, and services with Python, FastAPI, and modern frameworks.
  • Apply AI and machine learning capabilities, including LLMs, generative AI, and embeddings, to analytics workflows.
  • Document data architecture, lineage, schemas, and information flows across source systems and warehouses.
  • Translate complex findings for technical and non-technical stakeholders and identify opportunities for process and operational improvements.

Requirements

  • 7+ years of professional experience in data analytics engineering, data engineering, or a related field.
  • Expert-level SQL, including joins, window functions, and CTEs; BigQuery and hirify.global experience is strongly preferred.
  • Strong Python and/or JavaScript skills for building pipelines, internal tools, APIs, automation, data-facing web applications, and dashboards.
  • Deep understanding of data architecture, database structures, data flows, and evolving schemas.
  • Hands-on AI/ML experience and proficiency with AI-powered development tools such as Windsurf, Gemini, Claude, or Cursor.
  • Strong communication, self-management, continuous improvement, and end-to-end ownership skills; a public GitHub profile is required.

Nice to have

  • FastAPI experience for internal APIs and services.
  • Business process design or operational analytics experience.
  • Experience working with Finance, Marketing, Sales, Operations, or Engineering data.
  • Docker and Kubernetes experience.

Culture & Benefits

  • Work in an organization focused on database technology, innovation, empowerment, and independent thinking.
  • Collaborate with colleagues around the world and access learning and growth opportunities.
  • Receive 25 days of paid annual leave plus holidays.
  • Benefit from flexibility and freedom in the working environment.
  • hirify.global does not sponsor work visas or relocation.

Hiring process

  • Submit an application and CV/resume through the hirify.global careers site and Greenhouse ATS.
  • Accommodation is available during the application and interview process upon request.

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