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Junior Data Engineer

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Canonical

27d ago

  • Job
    Full-time
    Entry & Junior Level
  • Data
    Research & Development
  • Frankfurt
    Remote

AI generated summary

  • You should have a background in data science or engineering, expertise in statistics and coding (Python), analytics skills, and strong communication abilities to address business questions.
  • You will analyze data for product adoption, conduct experiments, collaborate with teams to enhance the data ecosystem, and maintain self-service data dashboards across the company.

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 since 2004.

What qualifications are required for the Junior Data Engineer position?

A background in data science, mathematics, actuarial science, or engineering is required, along with knowledge in advanced statistics, data sciences, coding/scripting languages (like Python, JS), and databases (SQL).

What skills are essential for this role?

Essential skills include data analytics and visualization, strong writing and communication abilities, and the capacity to translate business questions into research objectives.

What type of projects will I be working on?

You will work on advanced data analytics to grow Canonical's product adoption, design and conduct experiments with data, and collaborate with various stakeholder teams to improve the data ecosystem.

Is there a learning and development budget available?

Yes, there is a personal learning and development budget of 2,000 USD per annum for each team member.

What benefits do you offer in addition to base pay?

In addition to competitive base pay, we offer benefits such as annual compensation reviews, recognition rewards, holiday leave, parental leave, and an Employee Assistance Programme among others.

Are there opportunities for travel in this role?

Yes, there are opportunities to travel to new locations to meet colleagues at 'sprints,' and you will receive a Priority Pass for travel and upgrades for long-haul company events.

What is the company culture like at Canonical?

The company culture emphasizes ownership, collaboration, learning, curiosity, and continuous improvement, fostering an environment that encourages problem-solving and using technology in innovative ways.

How does Canonical support diversity and inclusion?

Canonical is proud to foster a workplace free from discrimination, valuing diversity of experience, perspectives, and backgrounds to create a better work environment and better products.

Who will I be reporting to in this position?

You will be reporting to the Growth Engineering Manager within the Marketing team.

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.