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 also seek 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 looking for a marketing data analyst to join our team and execute our growth hacking strategy.

The ideal candidate will be passionate about technology, technology marketing, and the use of technology in marketing. You will prefer an environment emphasizing ownership of campaigns, collaboration, learning, curiosity, and a drive to continually improve. You will also love problem-solving, getting hands-on, experimenting, measuring, and using automation to make daily life easier.

The Marketing team at Canonical drives commercial outcomes across its product portfolio and grows the market through digital campaigns, lifecycle management, events, partnerships, and community development. If these align with your interests and you're motivated by driving data engineering, delighting customers, and filling the sales funnel, we want to talk with you.

This role reports to the Growth Engineering Manager and is based remotely in the EMEA region.

1. Utilize advanced data analytics to grow Canonical's product adoption and market penetration
2. Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
3. Design and conduct experiments with data, visualization, and insights into Canonical's target audiences
4. Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc.) to improve the data and tool ecosystem
5. Establish and maintain systems for teams to have self-service access to data dashboards

• Background in data science, mathematics, actuarial science, or engineering
• Knowledge of advanced statistics, data sciences, coding/scripting languages (Python, JS, etc.), and databases (SQL, etc.)
• Strength in data analytics and visualization (Looker Studio, Tableau, Apache Superset, etc.)
• Ability to translate business questions into research objectives
• Skill in selecting methodologies, synthesizing, and analyzing findings
• Excellent writing and communication skills
• Willingness to challenge the status quo and resilience in facing challenges

Your base pay depends on location, experience, knowledge, and skills. Additional benefits include annual bonuses, sales incentives, and other rewards based on revenue or utilization. Our compensation philosophy emphasizes equity across our global workforce.

Additional benefits include:

• Fully remote work environment — we've been remote since 2004
• Personal learning and development budget of $2,000 USD per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental leave
• Employee Assistance Program
• Opportunities to travel for 'sprints'
• Travel upgrades for company events

Canonical is a pioneering tech firm leading the open source movement. As the publisher of Ubuntu, a key platform for AI, IoT, and cloud, we are changing the world daily. We recruit globally and uphold high standards of excellence. Since 2004, we've been a remote-first company, encouraging innovative thinking, continuous learning, and skill development. Join us to gain a unique perspective on digital business of the 21st century.

Canonical is an equal opportunity employer. We value diversity and are committed to creating an inclusive workplace free from discrimination. All applications will be considered fairly regardless of background or identity.