1 месяц назад
Senior Data Analytics Engineer (AI)
30 000 - 38 500€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 .
- 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 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.
- does not sponsor work visas or relocation.
Hiring process
- Submit an application and CV/resume through the careers site and Greenhouse ATS.
- Accommodation is available during the application and interview process upon request.
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