Data & Application Engineer
Madrid, Spain
CrowdFarming
CrowdFarming® is Europe’s leading online marketplace, directly connecting farmers with consumers. We develop the technology and logistics needed to provide consumers with access to the largest selection of organic and regenerative products, straight from the people who grow them.
Our mission is to build the world’s most sustainable food supply chain, ensuring that farmers receive a fair price for their work and that consumers enjoy fresh produce that travels 75% less time than those found in supermarkets.
Since our launch in 2017, we have grown to collaborate with more than 300 farmers across Europe, bringing organic and regenerative farming closer to thousands of consumers.
We are currently seeking a Data and Application Engineer to join our Data team, based in Madrid, Spain.
In this role, you will leverage your technical skills to build operational data-intensive applications that drive real-world solutions, working closely with various business units across Crowdfarming.
You'll partner with different teams and explore the data. In this role, the problems you'll seek will require a creative and analytical approach, a sharp intuition for product, and a strong degree of user insight to ultimately empower the business and achieve our mission.
👉 Your responsibilities:
- Work closely with the Finance & People Business Unit to understand their challenges and translate them into impactful, data-driven solutions
- Design, develop, and maintain robust data pipelines using Python, PySpark, TypeScript and other relevant technologies.
- Engage in prompt engineering to optimize LLM interactions and enhance AI capabilities.
- Design, develop and deploy operational applications that address critical business challenges and improve efficiency.
- Monitor the impact of deployed software products and propose continuous improvements to enhance performance and user experience.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Enable and inspire non-technical peers to embrace a data-first mindset by demystifying complex concepts, showcasing AI use cases, and fostering a culture of curiosity and experimentation.
- Stay updated with the latest industry trends and technologies related to data engineering and application development.
- Proactively bring data and AI into everyday conversations, identifying opportunities to solve problems that others might not even see yet — from automating manual workflows to surfacing insights no one thought to ask for.
👉 Qualifications:
- Bachelor's or Master's degree in Engineering, Data Science, Business Analytics or a related field.
- Fluency in english.
- 3+ years of experience in data engineering, data science, business analytics or application development roles
- Proficient in coding languages like SQL, PySpark, TypeScript, and prompt engineering.
- Experience in developing and maintaining production-level data pipelines and operational applications.
- Strong problem-solving skills and the ability to work independently and in a team environment.
- Excellent communication and collaboration skills, with the ability to work closely with non-technical stakeholders.
- Familiarity with agile development methodologies and version control systems (e.g., Git).
- A passion for sustainable agriculture and the food supply chain is a plus.
- Experience with Palantir Foundry is a plus.
👉 What do we offer?
- Permanent full time contract
- Flexible working hours with an intensive schedule on Fridays and during the summer (July & August).
- Hybrid working day (2 office days)
- A monthly allowance of €25 for your recurring expenses.
- An annual allowance of €250 to support any training you wish to undertake.
- Language classes partially funded by CrowdFarming.
- A flexible compensation plan and tailored benefits.
- A gift from the farm for your birthday.
- Health insurance partially funded by CrowdFarming.
- Free coffe at the office.
- Fruit and vegetables from our Farmers!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Business Analytics Data pipelines Data quality Engineering Finance Git LLMs Pipelines Prompt engineering PySpark Python Security SQL TypeScript
Perks/benefits: Flex hours Health care Snacks / Drinks
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