(DV-761) Research Engineer

(DV-761) Research Engineer

18 mag
Morgan McKinley

18 mag

Morgan McKinley


Research Engineer for Data Products

Firenze, Italy

Our Client's Company is guiding a connected world on the go by automating, optimizing and revolutionizing the way people, vehicles and things move through the world. With more than 3,500 dedicated employees in 15 countries, they deliver leading mobile technology platforms and solutions.

As a SaaS leader, they hire top talent and empower them to do their best work.

What you'll be doing"

They have immediate need for a Research Engineer to join their Data Products team. The Research Engineer will be responsible for the in-house research and development of strategic data products.

He/she will analyze signals collected by their Internet of Things platform and customize remote tracking units to create innovative applications. A strong technical background is expected, and successful applicants will also exhibit leadership and organizational skills.


Gain deep knowledge about connected vehicles to be able to program and troubleshoot GPS trackers and Engine Control Unit (ECU) data loggers.

Collect, analyze, cleanse, and verify data sets, enriching them with third party sources

Propose innovative ways to extract information from connected vehicles and design experiments to assess their effectiveness on the field

Envision new, customer-focused applications based on data from connected vehicles

Support other teams on selected projects with training or ad-hoc analysis.

Keep up-to-date with latest technology trends and contribute to key innovation initiatives, publish and patent innovative technology.

What we're looking for...

You'll need to have:

Degree in Electronic engineering, Automation engineering, Computer Science

Excellent technical skills with 2+ years programming experience in C, C++, Python, or any other common language

2+ years hands-on experience programming and troubleshooting IoT devices, with a preference for GPS trackers and Engine Control Unit (ECU) data loggers.

Excellent problem-solving and algorithmic design skills

Familiar with Unix/Linux environments

Familiar with scientific research, able to read a scientific paper and extract the main ideas

Results oriented with a demonstrated track record of successful delivery

Even better if you have:

Familiar with agile software development methodologies and tools

Experience with Big Data Analytics tools (Hadoop, Spark or similar).

Experience applying statistical analysis to validate business hypotheses

Morgan McKinley is acting as an Employment Agency in relation to this vacancy.

Please note that any references to salary or pay rates in this advertisement and in the salary refinement section are indicative only and should only be used as a guide.

Puoi trovare l'offerta di lavoro originale su Kit Lavoro:

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