yandex
mariadbplc
Страна
Румыния
+500% приглашений

Откликайтесь
на вакансии с ИИ

Ускорим процесс поиска работы
SeniorУдалённоПолная занятость

Senior Data Analytics Engineer

Оценка ИИ

Отличная вакансия в известной продуктовой компании с мировым именем. Привлекает удаленный формат работы, использование передовых AI-технологий и высокая степень свободы в принятии решений.


Вакансия из Quick Offer Global, списка международных компаний
Пожаловаться

Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием опыта от 7 лет, глубокими знаниями архитектуры данных и необходимостью владения современным стеком (FastAPI, Next.js, AI-инструменты). Роль предполагает полную автономность и ответственность за весь цикл разработки.

Анализ зарплаты

Медиана5 500 €
Рынок4 500 € – 7 000 €
Оценка ИИ

Предлагаемая позиция Senior уровня в международной компании MariaDB обычно предполагает зарплату выше среднего по рынку Румынии, особенно для удаленных ролей с таким широким стеком. Наш прогноз учитывает специфику региона и высокую квалификацию кандидата.

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 focused on building robust, scalable data pipelines rather than just static dashboards. My background in architecting solutions within BigQuery and MariaDB environments aligns perfectly with your technical stack and your mission to provide the backbone for global applications.

I am particularly excited about your emphasis on AI-powered development. I am an active user of tools like Claude and Cursor to accelerate my workflow and have experience integrating LLMs into practical data workflows. My public GitHub profile demonstrates my commitment to building internal tools and APIs, including experience with FastAPI and Next.js, which allows me to deliver end-to-end solutions from data ingestion to internal web applications. I look forward to the possibility of bringing my technical skills and proactive approach to your high-impact team.

+250% к просмотрам

Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в mariadbplc уже сейчас

Присоединяйтесь к команде MariaDB и создавайте будущее аналитических систем, 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 – Romania (remote)

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.
+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

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

Возможные вопросы на собеседовании

Проверка глубины владения SQL, который является критическим навыком для роли.

Расскажите о самом сложном SQL-запросе или процедуре, которую вы оптимизировали в BigQuery или MariaDB. С какими проблемами производительности вы столкнулись?

Вакансия требует навыков разработки полноценных инструментов, а не просто скриптов.

Опишите ваш опыт создания внутренних API или веб-приложений с использованием FastAPI или Next.js для нужд аналитики. Как вы обеспечивали безопасность и масштабируемость?

Компания активно внедряет AI в процесс разработки.

Как именно вы используете AI-инструменты (например, Claude, Cursor, Windsurf) в своей повседневной работе? Приведите пример, когда это значительно ускорило доставку решения.

Роль Senior предполагает понимание того, как данные движутся через всю организацию.

Как вы подходите к проектированию схемы данных в хранилище, чтобы она оставалась гибкой при изменении бизнес-требований в разных департаментах (финансы, продажи)?

Проверка навыков коммуникации и влияния на бизнес.

Приведите пример, когда ваш анализ данных привел к конкретному изменению в бизнес-процессах компании. Как вы презентовали свои выводы стейкхолдерам?

Похожие вакансии

NDA
300 000 ₽ – 320 000 ₽

Data аналитик Senior

SeniorУдалённоРоссия
MS SQL · ClickHouse · Power BI · Yandex DataLens · Airflow · Python · SSIS · Azure Data Factory · Databricks · DAX · ETL · DWH
+12 навыков
NDA
202 318 ₽ – 357 000 ₽

Data аналитик (Senior)

SeniorУдалённоРоссия
MS SQL · ClickHouse · Yandex DataLens · Power BI · Apache Airflow · Python · SSIS · Azure Data Factory · Databricks · DAX · ETL · DWH · Azure SQL Server · Yandex Cloud
+14 навыков
Top Selection
240 000 ₽ – 264 000 ₽

DWH аналитик

SeniorУдалённоРоссия
SQL · DWH · Apache Kafka · RabbitMQ · ActiveMQ · REST API · OpenAPI · Swagger · Lakehouse · MLOps · 1C · ETL · Data Mapping
+13 навыков
Eclipse Digital
Не указана

Аналитик данных (Senior)

SeniorУдалённоРоссия
SQL · Data Vault · Power BI · Data Modeling · Data Marts · Business Analysis · Banking Operations · Financial Reporting
+8 навыков
Choco Holding (ChocoFood)
Не указана

Analytics Data Engineer (DWH / BI Platform)

SeniorУдалённоКазахстан
SQL · Power BI · Microsoft Fabric · Greenplum · DWH · ETL · Data Modeling · API Integration
+8 навыков
Хогвартс маркетплейсов
Не указана

Senior BI/Data аналитик

SeniorУдалённоРоссия
BI · Data Analysis · SQL · ETL · Data Visualization · E-commerce
+6 навыков
более 1000 офферов получено
4.9

1000+ офферов получено

Устали искать работу? Мы найдём её за вас

Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!

mariadbplc
Страна
Румыния