About Canonical

Canonical, the company behind Ubuntu Linux, has been a pioneer in open source software since 2004. As the publisher of Ubuntu—one of the world's most widely used open source platforms—Canonical powers innovation across public cloud, machine learning, robotics, AI, IoT, and blockchain technologies. Our global team drives the adoption of open source solutions that shape the future of computing. With a fully remote-first culture, Canonical attracts top talent from around the world, fostering collaboration, ownership, and continuous learning in a high-performance environment.

Our Marketing team is at the forefront of technology marketing, leveraging data-driven strategies to expand Canonical's product portfolio and grow the addressable market. We focus on digital campaigns, lifecycle management, events, partnerships, and community development to deliver commercial outcomes and fill the sales funnel.

Role Overview

The Junior Data Engineer role within Canonical's Marketing team offers an exciting opportunity for early-career professionals passionate about data analytics, open source technologies, and marketing innovation. Reporting to the Growth Engineering Manager, you will contribute to building a cutting-edge marketing data stack using open source tools. This home-based position in the EMEA region emphasizes experimentation, automation, and cross-team collaboration to drive product adoption and market penetration.

As a Junior Data Engineer, you will apply advanced data analytics and mining skills to uncover technology adoption patterns, ensure visitor data privacy, and optimize open source usage in marketing. This role is ideal for curious individuals ready to embrace new tools, solve complex problems, and measure impact in a dynamic, remote environment.

Key Responsibilities

• Utilise advanced data analytics to grow Canonical’s product adoption and market penetration through insightful analysis.
• Design and conduct experiments with data, visualization, and insights into Canonical’s target audiences to inform marketing strategies.
• Build a marketing data stack based on open source technologies and integrate it seamlessly with our data mesh architecture.
• Collaborate with stakeholder teams including Product Management, Engineering, Information Systems, Finance, and RevOps to enhance the data and tool ecosystem.
• Implement and maintain self-service data dashboard systems, ensuring company-wide access to actionable insights using tools like Looker Studio, Tableau, or Apache Superset.

Qualifications & Requirements

We seek candidates with a strong foundation in data-related fields and a passion for technology marketing. Key qualifications include:

• Background in data science, mathematics, actuarial science, or engineering.
• Up to 1 year of experience in data analytics.
• Proficiency in advanced statistics, data sciences, coding/scripting languages such as Python and JavaScript, and databases including SQL.
• Strength in data visualization tools like Looker Studio, Tableau, or Apache Superset.
• Ability to translate business questions into key research objectives and identify optimal methodologies for execution, synthesis, and analysis.
• Excellent writing and communication skills, with resilience to challenge the status quo.

Candidates should thrive in collaborative settings that value ownership, curiosity, problem-solving, hands-on experimentation, measurement, and automation.

Benefits & Perks

Canonical offers competitive compensation tailored to your location, experience, and skills, with a philosophy of global equity. Beyond base pay, enjoy:

• Fully remote work: We've been remote-first since 2004, providing flexibility worldwide.
• Learning budget: 2,000 USD per annum for personal development.
• Annual compensation review: Regular adjustments to reflect performance and market rates.
• Recognition rewards: Celebrating achievements across the team.
• Generous leave: Annual holiday leave and parental leave policies.
• Employee Assistance Programme: Support for wellbeing.
• Travel perks: Priority Pass, travel upgrades for sprints, and opportunities to meet global colleagues.

Additional benefits may apply based on location, with eligibility for bonuses and incentives in certain roles.

Career Growth

At Canonical, career progression is driven by ownership and impact. As a Junior Data Engineer, you'll gain hands-on experience with cutting-edge open source tools, collaborate with world-class engineers, and contribute to high-stakes marketing initiatives. Our emphasis on learning—backed by a dedicated budget—ensures you stay ahead in data engineering and analytics. Regular performance reviews, global sprints, and cross-functional projects accelerate your development, positioning you for senior roles in growth engineering or data science.

Remote-First Culture

Canonical's remote model promotes work-life balance while maintaining excellence. Asynchronous communication, clear ownership, and tools like Ubuntu empower distributed teams to innovate without geographical constraints.

Why Join Canonical

Joining Canonical means working on Ubuntu and open source projects that power the world's most innovative technologies. You'll shape marketing technology's future, delight customers, and drive measurable growth in a company that values curiosity, resilience, and continuous improvement. With a global footprint and remote EMEA location, this role offers unparalleled opportunities to make a real impact in the open source ecosystem.

Role FAQs

Is this role fully remote?

Yes, this Junior Data Engineer position is fully remote within the EMEA region, aligning with Canonical's remote-first culture since 2004.

What experience level is required?

Up to 1 year in data analytics; ideal for recent graduates or early-career professionals with relevant academic backgrounds.

What tools will I work with?

Expect Python, SQL, JavaScript, data visualization tools like Looker Studio or Tableau, and open source stack for marketing data infrastructure.

How does Canonical support professional growth?

Through a 2,000 USD annual learning budget, compensation reviews, recognition programs, and global collaboration opportunities.

What is the reporting structure?

This role reports to the Growth Engineering Manager within the Marketing team.