Engineering Director - Business Data
CanonicalHome based - EMEAPosted 7 April 2026
Job Description
Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring an
Engineering Director , who strives for taking ownership of the development and operations of internal business systems integrations, a full data mesh solution built on top of leading open-source software, and the configuration of Salesforce, NetSuite, and other internal business systems. A successful candidate has a track record of leading the configuration, development and integrations of business systems, such as Salesforce or NetSuite, and data engineering/governance solutions. Such a candidate adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business.
The engineering director will lead the Business Data unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business and data analytics and reporting. We are looking for a software engineering director to oversee the three software teams led by software engineering managers.
The
Business Systems
team is responsible for systems such as NetSuite, Salesforce, and several others. The engineers work closely with operations teams, implement business processes, and keep the systems compliant, while delivering first class experience to Canonical employees using those systems to get their job done.
The
Data Lake
team is responsible for building a comprehensive data mesh solution with a secure and well-governed access to data sets originating at many internal and external data sources .
The team works with well-known open-source tools such as Trino, Ranger, and Superset, and develops tooling facilitating data governance processes.
The
Integrations
team is responsible for the integrations between internal and external systems used at Canonical and onboarding of new data sources to the data mesh. The team designs, develops, and operates Python workflows leveraging an open-source workflow orchestration engine Temporal. The team also integrates internal and external data sources into the data mesh using open-source ETL solution Airbyte, enabling more data driven decisions in the organization.
Location : This role will be based remotely in the EMEA region.
The role entails
Leading multiple teams of engineers, ranging from graduates to seniors
Developing your engineering managers to maintain Canonical culture in their teams
Developing and evangelize great engineering practices and processes in the teams
Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams
Identifying and measuring indicators of team health, and take action where needed
Being accountable for the product development roadmaps in the teams
Being an active part of the Commercial Systems leadership team, collaborating with other leaders
Expanding your teams by hiring great talent
Collaborating with stakeholders and product users
What we are looking for in you
Exceptional ... (truncated, view full listing at source)
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