At Solynta we are unlocking the True Potential of Potatoes through our hybrid potato breeding technology. We aim to drive sustainable improvements in world food security and farmer’s livelihoods with new hybrid potato varieties, grown from our true potato seeds.
The technologies applied to achieve this use large amounts of data and innovative models for decision-making. As Solynta is further expanding its activities, the quality and scalability of the software must also improve. To expand our Data DevOps Team and to help drive our business, we are looking for a:
Data Engineer (fulltime)
The primary focus of this position is to connect new data sources, develop the data lake, and setup processing pipelines. Solynta is rapidly taking up new methods to monitor potato plants, and to analyze large amounts of potatoes coming from trial fields. The data needs to be stored in a way that allows efficient and scalable access from processing pipelines. Apart from technical work, scientists’ software developers need coaching and mentoring on implementing scalable processing techniques.
Key activities / responsibilities
As an experienced data engineer, you will work with scientists and software developers to setup the new data sets and let their code and dashboards utilize the data. You will tackle performance bottlenecks, so that processing runs fast and cost efficient. You pro-actively keep up to date with the latest Python/R packages for data engineering, as well as developments on AWS cloud. Embracing a DevOps way of working, you are both result-driven and empathetic, always seeking to grow as a team. You enjoy working on the AWS cloud or are at least keen to get familiar with AWS cloud services.
Typical project
The agronomy research team discovers a new methodology to monitor potato plants using drones at our sites. Together with the scientist you setup the data sets with S3 and Glue and prepare pipelines with Polars to fill the data sets. Together with the DevOps engineer, you setup tasks on ECS to process the data within minutes after arrival, so that the Streamlit dashboard can present the latest insights.
Requirements
Experience:
- Data engineer related education or by training
- 5+ years of software development experience
- Python, R, Bash
- R Table, Pandas, Airflow, Postgres
- Proficient at Linux and Docker usage
- Gitlab CI/CD
- Familiar with AWS services like EC2, S3, Glue, Athena, ECS
Attitude:
- Good communicator, you will work with different stakeholders
- Can organize your own work and manage expectations
- Enjoy working in a flat organization with minimal hierarchy
Other:
- You currently live in The Netherlands
What We Offer:
- An enthusiastic and growing team with ambition and passion to drive real change
- The opportunity to join a dedicated team working on ground-breaking innovations for improving the global food supply
- Home office is situated in Wageningen
- Opportunities for growth and development within a dynamic organization
- A high degree of independence and responsibility within your role
- A annual gross salary between €65,000 and €91,000 including holiday money
Application:
To join our team as a Data Engineer please submit the form below or send an e-mail to recruitment@solynta.com including:
- A short motivation why this position and working at Solynta both align with your personal goals and ambitions.
- Your CV
For inquiries about the application process and the vacancy, please email recruitment@solynta.com.
Take the next step in your career and drive innovation at Solynta - apply today!
The application deadline is September 30, 2024.
Acquisition in response to this vacancy is not appreciated and will not be responded to.
Wiesje Huvenaars
HR manager