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Join a forward-thinking company as a Python Software Engineer, where you will play a vital role in developing innovative solutions for SaaS user management and data integration. This position offers the chance to work with cutting-edge technologies and collaborate with talented teams across the EMEA region. You will be responsible for designing and maintaining Python-based solutions that drive data-driven decision-making. If you are passionate about engineering quality and eager to grow your skills, this opportunity is perfect for you.
The provided job description contains relevant information but exhibits issues with repetition, formatting, and extraneous content. To improve clarity and professionalism, the description should be consolidated, redundant sections removed, and HTML tags used appropriately for better readability. Below is a refined version that maintains all essential details, enhances structure, and eliminates unnecessary repetition:
Location: Remote (EMEA region)
Vacancy: 1
Industry: IT - Software Services
Department: IT Software
We are hiring a Python Software Engineer at any seniority level who strives for high engineering quality, seeks continuous improvement, and actively develops their skills. This role offers an exciting opportunity to work with popular software systems, integration technologies, and open-source solutions.
The Commercial Systems unit at Canonical comprises five engineering teams collaborating closely with other engineering and business units. The services developed and operated by this unit are central to Canonical's business, with Python playing a key role. We are specifically looking for Python Software Engineers for our Integrations team.
The Integrations team automates SaaS user management and onboarding of new data sources into the data mesh. Responsibilities include designing, developing, and maintaining Python-based solutions for automating SaaS seat management, tracking application spend, and integrating internal and external data sources using open-source ETL tools to facilitate data-driven decision-making.
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