Data Engineer
Role details
Job location
Tech stack
Job description
You are responsible for building and managing the infrastructure, new technical implementations, and components that will handle data and logic. You will support other development teams and data scientists with technical questions. Every day, you work in close cooperation with architects, data scientists, product and application developers to create the best solutions possible. You will create operational processes that run fully autonomously, always reliable, and scalable for global operations.
- Contract: 40 hours
- Level: Medior
Ready to solve major global challenges with algorithms?
The world population is growing rapidly, and our planet lacks the resources to feed everyone in the traditional way. Greenhouses offer an efficient way to produce food and flowers in a sustainable manner. But the number of people with expertise in growing crops in greenhouses is declining every year.
New solutions are urgently needed. Algorithms can compensate for the lack of human expertise, because they can provide solutions to these global challenges: algorithms can feed the world! We offer growers a digital brain for their greenhouse. Are you eager to help us achieve this great ambition?
As a Data Engineer you are an important linking pin between the Product Development team and the development team. Your work includes:
- Collaborate closely with our business analysts and backend engineers to implement stable algorithms and ETL pipelines and develop data solutions based on known designs within the current data infrastructure
- Work in teams with end-to-end technical responsibility for products and their features
- Design, develop, implement, and extend data models for optimal data retrieval, storage, and business logic to meet business requirements
- Analyze large data sets to solve incidents, identify gaps and inconsistencies, and provide data insights
- Ensure that monitoring and solving of issues can be done in an efficient way by maintaining dashboards and logging
Requirements
You have been working as a Data Engineer for at least three years. During these years, you have developed a solid skill set:
- A bachelor's or master's degree in computer science, or other technical fields
- Programming of back-end applications (Python, C#, or Java) and a solid understanding of SQL, database technologies, and APIs
- You know how to work with Git
- Experience in designing and deploying high performance systems with reliable monitoring and logging practices
- Experience with Cloud platforms
- You are a colleague with a positive attitude who enjoys working in a team. You can work independently, you can master new tooling quickly, you are proactive, and you have a pragmatic approach
Benefits & conditions
We value your effort with a complete package that reflects your experience and track record:
- Generous personal learning and development budget to help you get where you want to go.
- Modern and flexible pension arrangement.
- Option to buy additional holidays every year.
Please write the motivation letter yourself. While we value the power of AI, we plan to hire a person not ChatGPT. #J-18808-Ljbffr