Software Engineer Intern

C-Cube

Delft

On-site

EUR 6,700 - 10,000

Part time

14 days+

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Benefits offered by this job

Internship allowance

Job summary

C-Cube International in Delft is seeking a Software Engineer Intern who loves hands-on coding and solving real problems. You’ll work on real products that matter, helping to automate, analyze, and visualize data from sensor systems used by major energy and transport clients.

You’ll gain experience with AWS IoT Core, DynamoDB and Lambda, Python, and basic front-end work to visualize insights on our internal dashboard.

Qualifications

  • Enrolled in Computer Science, Data Science/Engineering program (MBO/HBO/BSc/MSc).
  • Familiarity with AWS IoT Core, DynamoDB, Lambda and Python.
  • Basic understanding of data analysis (pandas, NumPy) and PostgreSQL.
  • English communication is good.

Responsibilities

  • Analyze sensor health using IoT Core data to detect/predict failures.
  • Develop a real-time data pipeline (MQTT → DynamoDB) for sensor metrics.
  • Write algorithms to flag anomalies and trigger alerts.
  • Generate reports for stakeholders via AWS Lambda.
  • Collaborate to visualize insights on our internal dashboard.
  • Possibility to integrate diagnostics into our dashboard with basic front-end work.
  • Possibility to explore predictive models using historical data to forecast issues.

Skills

AWS IoT Core
DynamoDB
Lambda
Python
Pandas
NumPy
English communication

Education

Computer Science, Data Science/Engineering (MBO/HBO/BSc/MSc)

Tools

PostgreSQL

Job description

Software Engineer Intern

Delft, Netherlands

Are you a hands-on coder who loves solving real problems?

Join C-Cube International and help us automate, analyze, and visualize data from high-tech sensor systems used by Shell, Vattenfall and Rijkswaterstaat.

Here you won’t be stuck doing theoretical tasks, you’ll work on real products that matter, contributing directly to the development of cutting-edge technologies that improve safety and reliability across industries.

Who we are

C-Cube International is an innovative scale-up based at YES!Delft, Europe’s leading tech incubator. We develop smart sensors and systems that predict corrosion and coating degradation on bridges, aircraft, and wind turbines, reducing risks, costs, and improving safety. We work with global industry leaders like Shell, KLM, and Boskalis, undertaking projects across diverse countries including China, Japan, Malaysia, Singapore, Germany, Belgium, the UK, France, and the United States.

What will you do
  • Analyze sensor health using IoT Core data (DynamoDB, Lambda) to detect/predict failures
  • Develop a real-time data pipeline (MQTT → DynamoDB) for sensor metrics
  • Write algorithms to flag anomalies and trigger alerts
  • Generate reports for stakeholders via AWS Lambda
  • Collaborate with the team to visualize insights on our internal dashboard
  • Possibility to integrate diagnostics into our dashboard with basic front-end work
  • Possibility to explore predictive models using historical data to forecast issues
What you bring
  • Enrolled in Computer Science, Data Science/Engineering program, or related field (MBO/HBO/BSc/MSc)
  • Familiarity with AWS (IoT Core, DynamoDB, Lambda) and Python
  • Basic understanding of data analysis (pandas, NumPy) and PostgreSQL
  • Being comfortable to communicate in English
  • Bonus points for:
    • Experience with time-series data
    • Basic frontend skills (React/JavaScript)
    • Knowledge of deployment workflows or machine learning
Who you are
  • Have a “get things done” attitude
  • Break down complex problems into manageable parts
  • A team player who wants to work in an international, scale-up environment
  • Not afraid to take ownership and push products forward
What we offer
  • Meaningful work on real, client-facing products
  • Hands-on involvement in projects with global industry leaders
  • Mentorship, technical growth, and learning opportunities
  • Internship allowance (based on duration and availability)
  • Access to our office socials and offsite events
  • Potential growth path into a permanent role
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