Python Data/Machine Learning Engineer

Signify Technology; Amsterdam; On-site; EUR 70,000 - 80,000; Full time

Job summary

Signify Technology in Amsterdam seeks a Python Data/Machine Learning Engineer fluent in Dutch to design data pipelines and deploy ML models in production. You will leverage Python, Spark, TensorFlow, and Airflow to build scalable solutions within a data-driven environment.

The role requires five+ years in data-focused roles and a strong command of Docker/Kubernetes, cloud platforms, and CI/CD practices. This perm position offers impactful work and bonus opportunities.

Qualifications

• Proficient Python with extensive data‑focused experience.
• Hands-on with data pipelines, ML in production, and testing.
• Experience in cloud, containerization, and CI/CD practices.

Responsibilities

• Design and build data pipelines and ML solutions for production use.
• Work with Python libraries (Pandas, scikit-learn, TensorFlow) and orchestration tools (Airflow).
• Collaborate in a Dutch-speaking, data-driven environment and deploy models using Docker/Kubernetes.

Skills

Python

Pandas

scikit-learn

PySpark

Keras

TensorFlow

Airflow

Kafka

Docker

Kubernetes

SQL/NoSQL databases

Cloud platforms (Azure/AWS/Google)

Dutch language

CI/CD

Job description

Job title: Python Data/Machine Learning Engineer (Fluent in Dutch)

Job type: Perm

Salary: 70-80k + Bonuses

Role Location: Amsterdam

Role and responsibilities: You have an insatiable interest in, a passion for, and over five years of experience with the magical and fastest-growing Python language. If you work in data-driven environments as a Data Engineer, Data Scientist, or Data Analyst, and have an affinity for designing and building Data Pipelines and Machine Learning solutions, then we're looking for you.

Job Requirements

• Python
• Python libraries and frameworks such as Pandas, scikit-learn, PySpark, Keras, TensorFlow and Airflow and tools such as Kafka and Docker.
• Experience in designing and building Data Pipelines.
• Experience with Machine Learning models in production environments.
• Experience with Machine Learning models such as Decision Trees / Random Forests, Deep Learning, simulations and optimization algorithms.
• Experience with Software Testing.
• Knowledge of methods such as Agile, Scrum and DevOps: CI/CD pipelines.
• Knowledge of containerization (Docker/Kubernetes).
• Knowledge of Relational and NoSQL databases.
• Knowledge of Cloud infrastructure (choice of Azure, AWS, Google, etc.).
• Fluent in Dutch

Accessibility Statement

Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.

We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.

Our Commitment To Diversity, Equity, And Inclusion

Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here