Ubeeqo
is a European start-up specializing in mobility and fleet solutions for
both companies and consumers. Founded in 2008, Ubeeqo is about
disrupting the way we think about getting places. The absurdity of car
ownership in an urban environment. We see a world where getting where
you want to go is possible in a different way. Where mobility is fluid,
shared, and connected. A car only when you need it.
Our
corporate solutions offer companies innovative ways in which to meet
their mobility needs and optimize business. Through our web platform, we
offer a simpler and more efficient way to get a company going: from
company cars to car rental, from taxis to trains. Our goal : to optimize
our clients’ (L’oréal, Airbus, Danone, Michelin) performance and
generate savings, while respecting the environment.
Ubeeqo is still at the beginning of an epic journey. The team is young, skilled and growing fast.
We are looking for a passionate, skilled Software Engineer who wants to make meaningful, measurable improvements that impact millions of users to join our growing team of Data Analysis. The junior Software
Engineer will collaborate on the expansion and optimization of our data
and data pipeline architecture, as well as optimizing data flow and
collection for cross-functional teams.
Responsibilities
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Data Migrations from different platforms and data models.
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Design, construct, install, test and maintain highly scalable data management systems and databases.
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Integrate new data management technologies and software engineering tools into existing structures.
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Create custom software components and analytics applications.
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Employ a variety of languages and tools (e.g. scripting languages) to marry systems together.
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Collaborate with data architects, modelers and IT team members on project goals.
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Develop dashboards and reports to communicate results.
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Build infrastructure to support Data Scientists and Ad-hoc analytics.
What we’re looking for
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Degree in Computer Science, Engineering, Statistics, or other relevant technical fields.
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Two years experience with Python 3.
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Some knowledge about libraries, such as NumPy, Pandas, SciPy and Pylearn.
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Database
architectures and Data warehousing solutions and Data mining. SQL
technologies (e.g. PostgreSQL and MySQL) and NoSQL technologies (e.g.
Cassandra and MongoDB)
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Comfortable working with complex data sets.
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Exceptional
written and oral communication skills to convey ideas in an effective
manner and passionate about technology, willingness to learn and try new
things.
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Working in a collaborative team environment using tools like JIRA and Git.
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Stable work history and an ability to collaborate effectively.
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Knowledge related to quantitative analysis and knowledge of some HTML5, CSS3 and JS.
How we work
We
work in a start-up like manner and we work in small scrum teams of 4-7.
Every team member is encouraged to take full ownership of their part of
the platform but also to contribute ideas, suggestions and code to
other areas of the business. We believe that features have no value
until they are in production adding value to our customers so teams
deploy fast and often.
The tech team is building something that has never been built before so we're always trying to think outside the box.