Junior Data Engineer at Canonical

This role is designed for early-career professionals (up to 1 year of experience) with a strong foundation in data science, mathematics, or engineering. It is a unique hybrid position that blends data engineering with marketing analytics, making it ideal for someone who wants to build data stacks while staying close to business growth strategies and technology adoption patterns. The position offers a fully remote environment in the EMEA region and emphasizes long-term professional development, including a $2,000 annual learning budget. Standout perks include international travel for "sprints" to meet colleagues and a "Priority Pass" for travel upgrades. While the base salary isn't disclosed, the company provides annual compensation reviews and a structured bonus/incentive program. **You might be a good fit if you:** * Have a background in Actuarial Science, Data Science, or Mathematics and love identifying patterns. * Are proficient in Python, SQL, and data visualization tools like Looker Studio or Tableau. * Are comfortable working with open-source tools and exploring "unfamiliar" technologies. * Enjoy translating complex business questions into actionable research objectives.