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SeniorУдалённоПолная занятость

Senior Data Analytics Engineer

Оценка ИИ

Отличная вакансия в известной продуктовой компании с сильной инженерной культурой. Привлекает использование передовых AI-технологий, гибкий график (Hybrid/Remote) и конкурентный соцпакет, включая 25 дней отпуска.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием 7+ лет опыта, глубоким знанием SQL и Python, а также необходимостью владеть современным стеком AI-инструментов разработки. Роль предполагает полную автономность и ответственность за весь цикл: от архитектуры данных до презентации инсайтов бизнесу.

Анализ зарплаты

Медиана5 000 €
Рынок4 000 € – 6 500 €
Оценка ИИ

Зарплата в вакансии не указана, но для Senior-позиции в Болгарии рыночный диапазон составляет от 7000 до 10000 BGN чистыми. MariaDB позиционирует себя как компания с конкурентной оплатой, что должно соответствовать верхним границам рынка для опытных инженеров.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Data Analytics Engineer position at MariaDB. With over 7 years of experience in data engineering and a deep expertise in SQL and Python, I have consistently built robust data pipelines and internal tools that bridge the gap between complex data architecture and actionable business insights. My background in architecting solutions within BigQuery and MariaDB environments aligns perfectly with your team's technical stack.

What excites me most about this role is MariaDB's forward-thinking approach to integrating AI-powered development tools like Windsurf and Claude into the engineering workflow. I am a firm believer in using LLMs to multiply output and have experience building data-facing applications with Next.js and FastAPI. I am eager to bring my end-to-end ownership mindset to your high-impact team in Sofia and contribute to the scalable infrastructure that powers MariaDB's global operations.

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Присоединяйтесь к MariaDB и создавайте будущее аналитики данных, используя самые современные AI-инструменты!

Описание вакансии

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.

Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.

Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.

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 deliver smarter outputs
  • Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
  • Develop internal tooling and automation using Python, FastAPI, and modern frameworks
  • Communicate findings clearly to technical and non-technical stakeholders-translate data into action
  • Understand and document data architecture, lineage, and how information flows across systems
  • Collaborate on business process analysis and process design improvements driven by data
  • Proactively identify opportunities for deeper analysis, better tooling, and operational improvements

Requirements & Qualifications

  • 7+ years of professional experience in data analytics engineering, data engineering, or a related field
  • Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
  • Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
  • js experience - ability to build data-facing web applications and internal dashboards
  • Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
  • Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
  • Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
  • Excellent communication skills - you can explain complex analysis to anyone in the room
  • Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
  • Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
  • A public GitHub profile with examples of your work (personal projects, contributions, experiments)

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) - you understand how data flows across an organization, not just within one silo
  • Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Location – Bulgaria (Hybrid, Sofia)

Travel - As required for the job (minimal).

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

  • At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
  • MariaDB does not sponsor work visas or relocation.
  • MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
  • MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
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Навыки

  • Data Architecture
  • Python
  • LLM
  • SQL
  • Kubernetes
  • JavaScript
  • Docker
  • BigQuery
  • Generative AI
  • Next.js
  • FastAPI
  • MariaDB

Возможные вопросы на собеседовании

Проверка экспертного уровня владения SQL, требуемого в вакансии.

Расскажите о самом сложном SQL-запросе, который вы оптимизировали в BigQuery или MariaDB. Какие техники (оконные функции, CTE, партиционирование) вы использовали для повышения производительности?

Оценка навыков разработки инструментов автоматизации.

Опишите ваш опыт создания внутренних API или инструментов на Python/FastAPI. Как вы проектировали архитектуру, чтобы она была масштабируемой и поддерживаемой?

Проверка владения современными AI-инструментами разработки.

Как именно вы интегрируете AI-инструменты (например, Cursor, Claude или Gemini) в свой ежедневный процесс разработки? Приведите пример, когда это значительно ускорило доставку решения.

Оценка навыков проектирования архитектуры данных.

Как вы подходите к проектированию схемы данных в хранилище, когда источники данных постоянно меняются? Расскажите о вашем опыте управления жизненным циклом и качеством данных.

Проверка коммуникативных навыков и работы с бизнесом.

Опишите ситуацию, когда результаты вашего анализа противоречили ожиданиям стейкхолдеров. Как вы доносили свои выводы и аргументировали необходимость изменений?

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