Data Engineer/Machine Learning Engineer

Job Opening: Data/Machine Learning Engineer

Location: Amsterdam/Remote

Industry: Retail & E-commerce

Type: Full-time

THE COMPANY

This company are transforming the retail experience with data-driven insights and intelligent systems that power every decision - from personalized customer recommendations to real-time inventory optimization. They are a fast-growing retail tech company that blends cutting-edge machine learning with the dynamic pace of the consumer world. If you're passionate about data, love solving real-world problems, and want to build products used by millions, they want to meet you.

The Role

They are looking for a Data/Machine Learning Engineer to join our cross-functional tech team. In this role, you'll design and deploy scalable ML models and data pipelines that fuel everything from demand forecasting to customer behavior analysis.

What You'll Do

• Design, build, and maintain robust data pipelines (ETL/ELT) from diverse retail data sources.
• Develop, train, and deploy machine learning models for applications such as personalization, dynamic pricing, fraud detection, and inventory forecasting.
• Collaborate with data scientists, engineers, and product managers to translate business needs into ML solutions.
• Optimize model performance, monitor production systems, and ensure reliability and scalability.
• Help shape data and ML best practices across the company.

What They are Looking For

• 3+ years of experience as a data engineer, ML engineer, or a related role.
• Strong Python skills, with experience in ML frameworks like scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of data modeling, distributed systems, and big data technologies (e.g., Spark, Airflow, Snowflake, Redshift, Kafka).
• Experience deploying ML models to production environments (Docker, Kubernetes, MLflow, etc.).
• Familiarity with retail metrics and challenges is a plus (e.g., customer lifetime value, basket analysis, supply chain optimization).

Why Join?

• High Impact Work: Your models and pipelines will influence major business decisions and customer experiences.
• Tech-First Culture: We invest heavily in AI, data infrastructure, and continuous learning.
• Innovation-Focused: Work with a team that values experimentation, rapid iteration, and creativity.
• Flexible Work: Remote options and flexible hours.
• Competitive Package: Attractive salary, stock options, learning budget, and benefits.