Canonical
Open Source • Cloud • AI
Canonical is the company behind Ubuntu, the world's most popular open-source operating system, which provides fast, modern, and secure Linux solutions for desktops, servers, and cloud environments. They offer a comprehensive set of products and services, including Ubuntu Desktop, Ubuntu Server, cloud solutions such as OpenStack, and tools for managing containerized applications with Kubernetes. Canonical focuses on making open-source technology reliable and accessible across various industries, from IoT and AI to enterprise infrastructure.
501 - 1000 employees
Founded 2004
Junior Data Engineer
September 27
Canonical
Open Source • Cloud • AI
Canonical is the company behind Ubuntu, the world's most popular open-source operating system, which provides fast, modern, and secure Linux solutions for desktops, servers, and cloud environments. They offer a comprehensive set of products and services, including Ubuntu Desktop, Ubuntu Server, cloud solutions such as OpenStack, and tools for managing containerized applications with Kubernetes. Canonical focuses on making open-source technology reliable and accessible across various industries, from IoT and AI to enterprise infrastructure.
501 - 1000 employees
Founded 2004
📋 Description
• 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 • Report to the Growth Engineering Manager as part of the Marketing team
🎯 Requirements
• 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
🏖️ Benefits
• 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 • Additional benefits may apply depending on work location
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