Intern Backend Engineer Python

Rotterdam Innovation City; Utrecht; On-site; EUR 8,000 - 10,000; Part time

Job summary

A tech-driven company is seeking an Intern Backend Engineer to help build the future of sustainable technology. This remote position offers €800/month for a minimum of 32 hours per week, with responsibilities including developing scalable APIs and working on data challenges. Candidates should be final-year students in Computer Science or related fields, with solid foundations in Python and APIs. The role emphasizes growth through mentorship and hands-on experience in a collaborative environment.

Qualifications

• A final-year Bachelor’s or Master’s student in Computer Science, Software Engineering, or related field.
• Solid full-stack foundation with experience in Python, APIs, and database systems.
• Familiarity with CI/CD pipelines and deployment processes.
• Passionate about data engineering and experience with Dask.
• Fluid in leveraging Docker to build containers.

Responsibilities

• Build modern, scalable, and responsive APIs with FastAPI, Docker, and micro-services.
• Design, implement, and optimize APIs, databases, and CI/CD pipelines.
• Work on large datasets and optimize data flows for performance.
• Dive into building reliable systems, monitoring, and infrastructure-as-code.

Skills

Python

APIs

Database systems

CI/CD pipelines

Docker

Data engineering

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Dask

AWS

GCP

Job description

Intern Backend Engineer

Build the future of sustainable tech with us!

Location: Remote with 4 hours overlap with Amsterdam time
Pay: €800/month for a minimum of 32 hours per week
Duration: 6+ months

Who We Are

Welcome to Spatialise, where we’re blending full-stack engineering, data science, and machine learning magic to tackle real-world problems and make a lasting impact. Backed by a dream team from Wageningen University, ex-IBM leadership, and machine learning innovators from Bain & BCG, we’re on a mission to empower organizations to build sustainable systems that truly make a difference.

What You’ll Be Doing

Develop end-to-end features: Build modern, scalable, responsive apis with FastAPI, docker and micro-services.
️ Engineer robust systems: Design, implement, and optimize APIs, databases, and CI/CD pipelines.
Tackle data challenges: Work on large datasets, implement parallel compute frameworks like Dask, and optimize data flows for performance.
Learn SRE practices: Dive into building reliable systems, monitoring, and infrastructure-as-code.
Grow with us: Take part in our mentorship and training programs to level up your Python and Devops expertise.

Who You Are

• A final-year Bachelor’s or Master’s student in Computer Science, Software Engineering, or a related field.

• Solid full-stack foundation with experience in Python, APIs, and database systems.

• Familiarity with CI/CD pipelines and deployment processes.

• Passionate about data engineering, including experience with Dask or parallel compute frameworks.

• Skilled in Python for data tasks.

• Fluid at leveraging Docker to build containers.

• A startup mindset—proactive, adaptable, and thrives in an environment of rapid iteration and shifting priorities.

• Interest in growing into Site Reliability Engineering (SRE), focusing on system reliability, scaling, and security.

Bonus Points

Experience with observability tools, monitoring systems, or infrastructure-as-code such as Terraform or Pulumi.
Familar at working with AWS or GCP to deploy micro-services.
A collaborative spirit—shares knowledge openly, gives and receives feedback constructively, and documents thoroughly.

Why Join Us?

Make an impact: Build tools that empower sustainable change.
Collaborate with top talent: Work with founders and leaders passionate about technology and change.
Boost your career: Gain hands-on experience in full-stack development, SRE practices, and data engineering.
Fast-track hiring: Project review ️ 30-min interview ️ 1-week paid work trial = start making a difference!