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.
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. 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.
LI-remote
#J-18808-Ljbffr