Data Engineer/Machine Learning Engineer
Posted 8 days 6 hours ago by Harnham
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.