Data Engineer, Commercial Systems
Home based - EMEA
Applications have closed
Canonical Ltd.
Canonical makes open source secure, reliable and easy to use, providing support for Ubuntu and a portfolio of enterprise-grade technologies. Founded in 2004, Canonical operates globally with team members in over 80 countries.We have established a new data science practice at Canonical. The team will innovate in the open source data science technology stack, deliver advanced business analytics, support product roadmap decisions for Canonical through actionable insights, and lead by example in setting and publicly advocating for industry standards in open source data science.
The team will have both Data Scientists and Data Engineers, apply here if you are most excited about the Data Engineer role!
As a Data Engineer at Canonical you will act as a technical expert in an exciting field at the intersection of data engineering, data science, and machine learning technologies, with particular emphasis on the open source ecosystem of Canonical and Ubuntu. You will drive the organisation, instrumentation, ingestion, and transformation of data from a wide range of sources in the company.
You will deploy and evaluate machine learning models at scale on cutting-edge infrastructure, and contribute to open source data platforms and MLOps cloud solutions. This work requires proactive collaboration in a worldwide distributed team of engineers who are experts in many fields.
At Canonical you will partner with key stakeholders to build data products to support our diverse offerings - from Ubuntu Desktop and Server, cloud infrastructure at the largest scale, to open source robotics and IoT solutions.
You will be at the forefront of technical development in open source data science. As such, you will get the chance to advocate for solutions, which you help to build, at the most prestigious industrial and academic venues worldwide.
We expect
- Bachelor's degree or equivalent in Computer Science or a related engineering field
- Experience with open source data platform software
- Familiarity with instrumentation and ingestion all the way to reporting and visualization
- Experience with workflow and scheduling solutions such as Apache Airflow, Argo, Kubeflow, Temporal
- Experience as a software developer using Go or Python
- Experience with RDBMS or NoSQL databases and ability to use SQL
- Experience with Linux as an advanced user
- Basic understanding of containerization technologies such as Docker and Kubernetes
- Excellent verbal and written communication skills in English
- Ability to collaborate remotely with a diverse set of team members and stakeholders
- Motivated, productive, and organized in a fully remote environment
- Ability to travel to international destinations up to two weeks at a time, approximately 2-4 times per year. Locations prior to the global pandemic included New York, Seattle, London, Cape Town, Budapest, Berlin, Montreal, and Brussels.
What Canonical offers
- Personal learning and development budget
- Annual compensation review
- Recognition rewards
- Annual leave
- Priority Pass for travel
Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, the world’s best free software platform. Our services help businesses worldwide reduce costs, improve efficiency and enhance security with Ubuntu.
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.
#LI-remote
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Business Analytics Computer Science Docker Engineering Industrial Kubeflow Kubernetes Linux Machine Learning ML models MLOps NoSQL Open Source Python RDBMS Robotics Security SQL Travel
Perks/benefits: Travel
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