Student Worker Data Analytics
Vor 5 Tagen
Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.
At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.
Join us, and together, we'll transform our industry, making a lasting difference for brighter lives and a better world.
Our Philips products interact connected lighting systems, and data-enabled services transform people's lives in homes, buildings, and public spaces. We define the meaning of light.
CityTouch is a remote light management solution for roads and streets. It comprises road luminaires with a controller unit, which can communicate with a Cloud backend service to allow remote control and monitoring. We are migrating our CityTouch customers to Interact City, the successor system.
More about the roleFor the Cloud Center of Excellence, we are looking for a working student. You will be based in our European Operations Centre in Aachen.
Connecting millions of IOT devices in the lighting domain, we're looking for a Student worker who will support us on a specific mission. You will build data analytics tools using AWS Web Services (AWS Cloud) infrastructure and data sources and provide a reliable basis for business decisions. You will be part of an international distributed team and working together with various operations and development teams.
What you'll doIn our CCoE Automation team team, you will:
Write scripts to aggregate and analyze IOT data
Roll out data analytics tools to different systems
Support the visualization of the data analytics results
You are currently enrolled in a bachelor or master program in computer science, electrical engineering or a comparable subject and experience in most of the below areas.
First touchpoints with the AWS cloud and eager to learn cloud technologies
Software development knowledge in a higher language e.g Python
Software testing experience a plus
Grafana as visualization tool a plus
Fluent in English is a must, German knowledge is a plus
The position mandates working from our office in Aachen. If you do not reside close to the office, we are seeking candidates who are open to relocating
We're committed to the continuous development of our employees, using our learning to shape the future of light and create a sustainable future. Join the undisputed leader in the lighting industry and be part of our diverse global team. #WeAreSignify #SignifyLife
Any and all information you share with us as part of your application procedure will be assessed during the application process. Please be informed that unless our vacancy explicitly references a third party recruitment agency, Signify does not engage with third-party agencies. Applications should be made directly to our career site.
Everything we'll do for youYou can grow a lasting career here. We'll encourage you, support you, and challenge you. We'll help you learn and progress in a way that's right for you, with coaching and mentoring along the way. We'll listen to you too, because we see and value every one of our 30,000+ people.
We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce representing 99 nationalities, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.
See #SignifyLife through the eyes of our employees
Our processJoin us in transforming our industry and making a positive impact on the environment and society. Apply now to become a part of our positive, high-energy team at Signify. We kindly ask you to apply through our Signify career site. After a pre-selection process based on your CV, you will be invited for a video interview and after successful review, a business interview.
Please upload your documents in English.
For the sake of better readability, the simultaneous use of male, female, and diverse gender forms (m/w/d) is avoided. All personal designations apply equally to all genders.
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