Data Engineer bij LetsGrow.com

Step into a young, international team where learning, innovation, and making an impact go hand in hand. You will have the freedom to build with Generative AI and LLM technologies, guided by experienced colleagues, while quickly developing your skills. Your contribution counts, you are encouraged to take initiative, and you work on projects that truly make a difference. Interested? Read on.

As a Data Engineer, you will develop AI functionalities that transform large amounts of greenhouse cultivation data into concrete, actionable insights for growers. You will design scalable LLM solutions, bring them into production, and support the data science team in transitioning from predictive analytics to Generative AI. In doing so, you will work closely with product and software development teams and contribute to further professionalizing AI and MLOps at LetsGrow.com. Your key responsibilities will include:

• Collaborating on Generative AI and LLM solutions, such as conversational interfaces and advisory features.
• Supporting the development and maintenance of data pipelines and AI systems in Python.
• Assisting in deploying and monitoring models in production and applying MLOps principles.
• Working together with product, software development, and data scientists on practical AI features.
• Learning from the experienced team and helping to further professionalize AI within LetsGrow.com.

In addition to an exciting role within a friendly and welcoming team, we offer:

• A salary of up to €4,500 per month (based on 40 hours).
• 25 vacation days for full-time employment.
• A solid pension plan, with 50% of the premium paid by us.
• Flexibility to work both at the office and from home.
• A “where-you-work” budget: travel allowance of €0.23/km or an NS-Business Card if you come to the office. Working from home? You’ll receive a home office and internet allowance.
• A workplace where you can develop your skills through courses, training, and further education.

You are a true team player and communicate openly. You also recognize yourself in the following:

• Around 2 years of experience with Python and working with LLMs.
• Experience with data engineering concepts (ETL, data pipelines) is a plus.
• Willingness to learn new tools and technologies (e.g., LangChain, Hugging Face, Azure AI).
• Analytical, eager to learn, and collaborative.
• Interest in data-driven solutions and the horticulture sector; prior experience in horticulture is not required;
• A valid work permit for the Netherlands is required; LetsGrow.com is not a sponsoring company.