Growth Engineer

Join to apply for the Growth Engineer role at Canonical . 1 day ago - be among the first 25 applicants. Role Overview 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 technology adoption for our customers and for our own martech stack. We are looking for an experienced Growth Engineer to join our team and take ownership of our marketing technology stack, data architecture, and infrastructure. This role is critical for designing and scaling the systems that power marketing automation, lifecycle marketing, and data‑driven growth initiatives. The ideal candidate will be passionate about technology, data, and the use of technology in marketing. You will thrive in an environment that emphasizes ownership, collaboration, learning, and a drive to continually improve. If you love to solve complex problems, get hands‑on with cutting‑edge tools, and build the automated systems that fuel a global business, we want to talk with you. This role sits in the Marketing team and reports to the Growth Engineering Manager. Location: This role will be based remotely in the EMEA region. What your day will look like Design, build, and maintain our core data infrastructure and martech stack to support marketing and sales goals. Develop and optimize robust data pipelines, automations, and integrations between our CRM, marketing platforms, and data warehouse. Architect and manage APIs for seamless system integration and data flow across the entire stack. Collaborate with marketing, sales, and product teams to understand their needs and architect technical solutions. Implement and champion software engineering best practices, including clean code, CI/CD, automated testing, and version control. Explore and integrate cutting‑edge tools to enhance our data capabilities and operational efficiency. Support marketing team members with strategic expertise, setting up and monitoring automations. Build on automation and AI to improve lead management. Develop Canonical's martech stack to industry‑leading standard. What we are looking for in you System Design: Expertise in system design, particularly in the data world, with a strong understanding of networking, proxies, and data ingress/egress patterns. Cloud & Databases: Proficiency with cloud data warehousing (e.g., BigQuery), relational databases (e.g., Postgres), and object stores (e.g., S3). Knowledge of Docker, Kubernetes, and data stores like Redis is a plus. API Architecture: Deep knowledge of API architecture and design, with a primary focus on REST. Experience with GraphQL is beneficial. Programming: Senior‑level knowledge of Python (OOP, APIs, asyncio, scientific libraries) and SQL (experience with tools like Trino and dbt is highly valued). Web Technologies: A solid understanding of web application backend‑frontend processes. Working knowledge of JavaScript is required; experience with React is a nice‑to‑have. Engineering Best Practices: A commitment to writing clean, maintainable code, with experience in CI/CD, automated testing, and version control (Git). Mindset: A curious and collaborative problem‑solver with a growth mindset and a keen interest in the commercial domains of marketing and sales. Plus, exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross‑functional teams. What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits that reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. 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