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 to embrace new technologies and 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, and blockchain. Marketing at Canonical means being at the forefront of innovation for our customers and our 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 continuous improvement. You will also love problem-solving, hands-on work, experimentation, measurement, and automation to streamline daily tasks.

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

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

Location: This role is remote within the EMEA region.

What your day will look like

1. Utilize advanced data analytics to grow Canonical's product adoption and market share.
2. Conduct quantitative and qualitative data analysis to derive insights and business outcomes.
3. Design and run experiments involving data, visualization, and audience insights.
4. Collaborate with teams (Product Management, Engineering, IS, Finance, RevOps) to enhance data and tools.
5. Establish and maintain systems for self-service data dashboards across teams.

What we are looking for in you

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

What we offer you

• Competitive base pay based on location, experience, and skills.
• Additional benefits including bonuses and incentives where applicable.
• Fully remote work environment since 2004.
• Annual learning and development budget of $2,000 USD.
• Annual salary review, recognition rewards, holiday leave, parental leave, Employee Assistance Program.
• Opportunities to travel for company events.

About Canonical

Canonical is a pioneering open source tech firm, publisher of Ubuntu, and leader in AI, IoT, and cloud platforms. We hire globally and uphold high standards of excellence. Since 2004, we've operated as a remote-first company, fostering innovation and continuous learning. Canonical is an equal opportunity employer, committed to diversity and inclusion.