Data Engineer (Python/AWS)
Pubblicato il 30-10-2026 - Veliu in Milano
We are on a mission to help people recover the value embedded in their pre-owned goods, transforming them into currency, and enabling brands to sell more sustainably. We’ve built a unique AI-powered, product-centric platform that connects retailers, consumers, and professional used-goods buyers. As we scale rapidly across Europe, we’re raising the bar for sustainability in one of the largest markets worldwide.
In our view, agile management, long-term planning, and a deductive approach often fall short—only execution and tangible results truly matter. We believe in shared ownership of the company and learning through experimentation.
Veliuers have worked in some of the best startups worldwide: Senso, Palantir, Reddit, Meta, Scalapay, Sibill, ScaleAi, Satispay and more! We secured our 4m USD pre-seed round in July 2025 and we have giga office in Milan (Italy).
In this role, you'll be seen by the team as the go-to person for most of our data pipelines and data science/ML projects. This isn't a research-focused position — the workflows you build will be used in real-life, production applications that directly impact our users and partners. Your work will play a key role in powering our platform and driving meaningful results across the board.
Data Engineering:
Design, build,
and maintain scalable data pipelines to collect, clean, and transform large volumes of structured and unstructured data.
Collaborate with the engineering team to develop efficient data storage solutions (e.g., data lakes, warehouses) and ensure smooth data flow for AI, data science and analytics use cases.
Data Science & AI/ML:
Develop, train, and deploy AI/ML models for prediction, recommendation, and optimization tasks, with a focus on Pricing, Risk Management and Catalog Management.
Continuously experiment and validate model performance, ensuring robustness and scalability in real-world applications.
Work on applied AI techniques such as natural language processing (NLP) or computer vision to enhance company products and services.
Experience with programming languages and tools (e.g., Python, SQL, Spark, Pandas, Polars)
Proficiency in data science and machine learning techniques (e.g., Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Spacy).
Passion for AI applications in fintech, sustainability, and the circular economy.
Experience with cloud environment (e.g., AWS/GCP/Azure), cloud computing and ETL.
Experience with data visualization tools (e.g., Git)
#