Intern Hue Full Stack Engineer - Data Platform
Eindhoven - HTC 07
Signify
Signify ist Weltmarktführer für vernetzte LED-Beleuchtungssysteme sowie Software und Dienstleistungen im Beleuchtungsbereich. Wir nutzen das außerordentliche Potenzial von Licht, um für ein angenehmeres Leben und eine bessere Welt zu sorgen.Job Title
Intern Hue Full Stack Engineer - Data PlatformJob Description
We’re looking for a Hue Full Stack Engineer Intern to join our R&D Hue Connected team in Eindhoven.
Working for Signify means being creative and adaptive while working in a fast-paced company. Our culture of continuous learning and commitment to diversity and inclusion creates an environment that allows you to build your skills and career while transforming our industry.
As the world leader in lighting, we’re constantly ahead of the curve. Through our leadership in connected lighting and the Internet of Things, we’re breaking new grounds in data analytics, AI, and smart homes, offices, cities and more!
Signify is one of the few companies in the world to achieve carbon neutrality and our next sustainability goals are even bolder: doubling our positive impact on the environment and society by 2025.
As a Hue Full Stack Engineer Intern, you'll have a great opportunity to gain knowledge and hands-on experience building a state-of-the art big data platform and data processing pipelines. You will have the opportunity to work alongside with our data engineers at the largest Lighting IoT company in the world, contributing to the design and implementation of a big data platform which is the able to support our business analysts, data scientist and is the foundation of our AI/ML use cases.
We’re on the lookout for forward-thinking innovators with a passion for sustainability. If you match this description, get in touch!
What you’ll do
You'll be a part of R&D team in Eindhoven and work on data use-cases.
You'll build a serverless big data platform with support for AI/ML.
You'll design and implement streaming data pipelines with real time analytics.
You'll innovate, explore and implement propositions on data analytics and Machine Learning.
You’ll be actively participating in our virtual intern network where you’ll be working on business cases, personal development and building your internal network.
Your qualifications
You are finalizing a Bachelors or Masters degree in the field of Computer Science / Software Engineering.
You are passionate about software engineering and big data.
You are highly skilled in Python 3.x programming and JavaScript (TypeScript) programming.
You are very Knowledgeable with AWS services and common design patterns.
Ready to learn on the job and not required to do a thesis.
Available for minimum 6 months.
What you’ll get in return…
Internship allowance: the exact amount depends on your situation (also towards rented accommodation or public transportation).
Paid leave on the basis of 1 day per month.
Extensive set of tools to drive your career, such as a personalized learning platform.
Opportunity to purchase products in the staff shop (MyShop) at reduced prices.
We’re offering multiple opportunities for career development, like mentoring, coaching and stretch assignments, with strong international exposure for dynamic profiles. Learning is fundamental to our culture. Through continuous learning, we are transforming the industry. You have the chance to learn every day, acquire new skills and perspectives through customized online programs, and on-the-job experiences.
See #SignifyLife through the eyes of our employees!
What we promise
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
Tags: AWS Big Data Computer Science Data Analytics Data pipelines Engineering JavaScript Machine Learning Pipelines Python R R&D Streaming TypeScript
Perks/benefits: Career development
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.