2 days ago

Intern Hue Full Stack Engineer

Signify

On Site
Full Time
€12,000
Eindhoven, North Brabant, Netherlands

Job Overview

Job TitleIntern Hue Full Stack Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€12,000
LocationEindhoven, North Brabant, Netherlands

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Job Description

Intern Hue Full Stack Engineer at Signify

About Signify

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. You light the way.

More About The Role

This is an exciting job opportunity for you to light the way as an Intern Hue Full Stack Engineer in Eindhoven with Signify.

As an Intern Hue Full Stack Engineer, 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
  • Work alongside with our data engineers at the largest Lighting IoT company in the world
  • Contribute to the design and implementation of a big data platform which is able to support our business analysts, data scientists and is the foundation of our AI/ML use cases

More About You

While we value and appreciate all applicants, we believe that the following experience and skills will be needed to shine brightly in this job opening:

  • 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
  • Fluent in English
  • Ready to learn on the job and not required to do a thesis
  • Available for minimum 6 months

Everything we’ll do for you

You 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.

Come join us, and together we can light the way.

Key skills/competency

  • Python programming
  • JavaScript/TypeScript
  • AWS services
  • Big Data platforms
  • Data processing pipelines
  • Software Engineering
  • AI/ML foundations
  • IoT systems
  • Full Stack development
  • System design

Tags:

Full Stack Engineer Intern
Big data
Data platform
Data processing
AI/ML
IoT
Software development
System design
Cloud computing
Python
JavaScript
TypeScript
AWS
Data pipelines
Front-end
Back-end
Software engineering
Programming
Analytics

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How to Get Hired at Signify

  • Research Signify's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for Signify: Highlight relevant projects in Python, JavaScript, AWS, and big data to match the Intern Hue Full Stack Engineer role.
  • Showcase your passion for big data: Be ready to discuss your interest in data analytics, AI/ML, and IoT during interviews.
  • Prepare for technical assessments: Review full stack development, AWS services, and data processing concepts relevant to Signify's data platform.
  • Emphasize learning agility: Demonstrate your readiness to learn on the job and contribute effectively within a 6-month internship.

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