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Junior Data Engineer

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Canonical

26d ago

  • Job
    Full-time
    Entry & Junior Level
  • Data
    Marketing
  • Dresden
    Remote

AI generated summary

  • You should have a background in data science or engineering, skills in coding (Python, JS), data visualization, strong analytical abilities, excellent communication, and resilience.
  • You will analyze data to drive product adoption, conduct experiments, collaborate with teams to enhance data tools, and maintain self-service access to dashboards for company-wide insights.

Requirements

  • Background in data science, mathematics, actuarial science, or engineering
  • Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
  • Strength in data analytics and visualisation (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

Responsibilities

  • Utilise advanced data analytics to grow Canonical's product adoption and market penetration
  • Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
  • Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
  • 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

FAQs

Do we support remote work?

Yes, we have a fully remote working environment, as we've been working remotely since 2004.

What kind of background is ideal for this role?

We are looking for candidates with a background in data science, mathematics, actuarial science, or engineering.

What technical skills are required for this position?

Candidates should have knowledge in advanced statistics, data sciences, coding/scripting languages (such as Python and JavaScript), and databases like SQL.

What tools and software should candidates be familiar with?

Familiarity with data analytics and visualization tools such as Looker Studio, Tableau, and Apache Superset is important.

What is the focus of the marketing team at Canonical?

The Marketing team drives commercial outcomes for the company through digital marketing campaigns, lifecycle management, events, partnerships, and community development.

How does Canonical support employee development?

We provide a personal learning and development budget of $2,000 per annum for continuous growth.

Is there an annual review process for compensation?

Yes, we conduct an annual compensation review for all team members.

What recognition programs does Canonical have in place?

Canonical has recognition rewards to acknowledge and appreciate employee contributions.

Are there any benefits related to parental leave?

Yes, Canonical offers parental leave to support team members during significant life events.

What opportunities exist for team members to connect?

Employees have opportunities to travel to new locations to meet colleagues at 'sprints' for collaboration and bonding.

How does Canonical approach diversity and inclusion?

Canonical is committed to fostering a workplace free from discrimination and values diversity of experience, perspectives, and background.

What is the primary goal of the Junior Data Engineer role?

The primary goal is to utilize advanced data analytics to grow Canonical's product adoption and market penetration.

Enterprise open source, secured and delivered by the publisher of Ubuntu.

Technology
Industry
501-1000
Employees
2004
Founded Year

Mission & Purpose

Canonical is a technology company known for developing and supporting Ubuntu, a popular open-source operating system. The company focuses on providing reliable, secure, and cost-effective solutions for cloud computing, IoT, and containers. By leveraging open-source technologies, Canonical aims to enable innovation and digital transformation for businesses and developers worldwide. The company is committed to ensuring high performance and scalability, promoting the adoption of open-source software, and fostering a global community of users and contributors.

Benefits

  • Remote working

    Canonical has been a fully distributed organisation since its origin in 2004. Digital collaboration allows us to enjoy our home environment and work with the best in the world in our domain. We meet each other at least twice per year during in-person sprints to nurture cross-team relationships.

  • We build trust

    Zero commute means more time for the things you enjoy. At the same time, we have very high expectations of commitment and independent execution. We invest in people who are self-driven, motivated and highly organised. We take our responsibility for the most critical elements of open infrastructure very seriously, and we are committed to quality in every aspect of our product and services.

  • We engineer excellence

    We aspire to lead on the global stage. There’s no other way to describe it than hard work, hard challenges and hard competition. You will need to show that you can compete in deeply challenging intellectual fields. Your colleagues are aiming for the top, and they depend on you to set the same standard in your area of responsibility. That’s tough but incredibly satisfying. We value those who take ownership of their area and take opportunities to be exceptional.

  • We travel

    We optimise our team structure for time zone overlap. Collaboration and inspiration takes time to fully develop but leadership at Canonical means building cross-team relationships. We nurture those relationships through regular global summits which bring diverse teams or their leaders together. We host these events around the world to discover great places to explore and appreciate in the process. Team events have taken place in Vancouver, Brugge, New York, Budapest, Orlando, Cape Town, Warsaw, Seoul, Paris, Portland, Lyon, London, Toronto and many more.