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Data Engineer

Posted 4 months ago by Daniel Fransson
Gothenburg
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Job Description

You will maintain data pipelines ingesting CoDev driver feedback combined with meta data, from other systems, into tables displayed in different places. Both uptime and data quality are important to secure value for all stakeholders and development teams reading and working with these reports. The team also delivers availability to signal and diagnostic data from the cars in both rawer and refined formats.
You will also provide a descriptive overview of the datasets we own for stakeholders to understand our deliveries at a quick glance.
You will work in close collaboration with Data Engineers, software development teams building applications used for collecting and distributing CoDev data, as well as architects in the development of products and platforms, and not to forget, users of our products, with various level of knowledge into the data area.

You should also have the capability to help our Product Owner in specific leadership tasks, being able to communicate with stakeholders to fulfill their needs.

You and your skills
We aim to develop products that are scalable. You are comfortable in a wide variety of system and software development disciplines, programming, system design and interfacing with databases.
You have a big autonomy in how to design solutions and drive improvements and development of datasets.
You enjoy exploring new ways to solve problems, including tools to choose, to improve the way to deliver value to stakeholders.
You are very experienced in Python language, version handling in Git/Gerrit and setting up environments in Docker and building pipelines in Jenkins.
You have an analytical mindset and experience in data visualization building dashboards and interactive graphs such as Power BI.

It is an asset if you have previous experience from working with large data sets as well as experience from developing test programs, and working with Azure cloud, Snowflake, API management and SQL. 

It is an asset if you have experience in UDS diagnostic communication protocol, used within the automotive industry.

You have a MSc degree in Data Science, Data Engineering, Mathematics, or equivalent area, as well as fluent in English.