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Junior Data Engineer

Оценка ИИ

Отличная возможность для старта карьеры в мировой технологической компании с сильной культурой open source. Предлагается удаленная работа, бюджет на обучение и участие в международных 'спринтах', однако конкуренция за место будет очень высокой.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Позиция начального уровня, но Canonical известна своими высокими стандартами отбора и многоэтапными интервью. Требуется сочетание навыков инженерии данных, аналитики и понимания маркетинговых метрик.

Анализ зарплаты

Медиана45 000 $
Рынок35 000 $ – 60 000 $
Оценка ИИ

Зарплата в Canonical сильно зависит от региона проживания кандидата (EMEA). Для Junior-позиций в Европе и на Ближнем Востоке предлагаемый диапазон соответствует рыночным ожиданиям для международных продуктовых компаний.

Сопроводительное письмо

I am writing to express my strong interest in the Junior Data Engineer position at Canonical. With a solid background in data science and a passion for open-source technologies, I am eager to contribute to your growth hacking strategy and help shape the future of your martech stack. My experience with Python, SQL, and data visualization tools like Tableau aligns perfectly with your requirement for a data-driven professional who can translate complex business questions into actionable insights.

What draws me most to Canonical is your long-standing commitment to remote work and the open-source community. I am particularly excited about the opportunity to build a marketing data stack integrated with a data mesh and to collaborate with cross-functional teams to improve the data ecosystem. I am a proactive problem-solver who thrives in environments that emphasize ownership and continuous learning, and I am confident that my analytical skills will help drive product adoption and market penetration for Ubuntu and your other innovative products.

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Откликнитесь в canonical уже сейчас

Присоединяйтесь к команде Canonical и создавайте будущее маркетинговых технологий на базе Open Source!

Описание вакансии

Junior Data Engineer

Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.

The role of a Junior Data Engineer at Canonical

Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. We’re on the look out for a marketing data analyst to join our team and execute on our growth hacking strategy.

The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.

The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving data engineering, delighting customers and filling the sales funnel, we want to talk with you.

This role sits in the Marketing team reporting to the Growth Engineering Manager.

Location: This role will be based remotely in the EMEA region.

What your day will look like

  • Utilise advanced data analytics to grow Canonical’s product adoption and market penetration
  • Design and conduct experiments with data, visualisation and insights into Canonical’s target audiences
  • Build a marketing data stack based on open source, and integrate it with our data mesh
  • Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
  • Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards

What we are looking for in you?

  • Background in data science, mathematics, actuarial science, or engineering
  • Up to 1 year of experience in data analytics
  • Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
  • Strength in data visualisation tools (Looker Studio, Tableau, Apache Superset, etc)
  • Ability to translate business questions to key research objectives
  • Ability to identify the best methodology to execute research, synthesise and analyse findings
  • Excellent writing and communication skills
  • Willingness to examine the status quo and resilient in the face of challenges

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

🏠Fully remote working environment - we’ve been working remotely since 2004!

📚Personal learning and development budget of 2,000 USD per annum

💰Annual compensation review

🏆Recognition rewards

🏝 Annual holiday leave

👶Parental Leave

🧑‍💼Employee Assistance Programme

🧳Opportunity to travel to new locations to meet colleagues at ‘sprints’

✈️Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

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Навыки

  • Tableau
  • Python
  • SQL
  • Statistics
  • Data Visualization
  • JavaScript
  • Open Source
  • Data Science
  • Looker Studio
  • Apache Superset

Возможные вопросы на собеседовании

Проверка базовых навыков работы с данными, необходимых для роли Junior.

Расскажите о наиболее сложном SQL-запросе, который вы писали: какие задачи он решал и как вы его оптимизировали?

Роль предполагает работу с маркетинговыми данными. Важно понимать, как кандидат связывает технические метрики с бизнес-целями.

Как бы вы спроектировали эксперимент для оценки эффективности новой маркетинговой кампании в экосистеме open source?

Canonical активно использует Python для автоматизации и обработки данных.

Какие библиотеки Python вы предпочитаете использовать для очистки и анализа данных и почему?

Вакансия подразумевает создание self-service дашбордов.

Какими принципами вы руководствуетесь при создании визуализаций данных, чтобы они были понятны нетехническим стейкхолдерам?

Canonical — полностью удаленная компания с распределенной командой.

Как вы организуете свою работу в полностью удаленном формате и как обеспечиваете эффективную коммуникацию с коллегами из разных часовых поясов?

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