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Data Engineer

Full time - The Hague, Netherlands

5+ Years Experience

Want to develop technology to feed the world?

AI is revolutionising agriculture at a fast pace. From farm to fork - every link in the value chain will become data-driven. VanBoven plays an important role in this transition by providing vegetable growers with the tools needed to develop accurate harvest predictions. This information is crucial to producers, distributors, wholesalers, industry and retailers in order to optimise the value chain and reduce food waste.

 

VanBoven develops harvest predictions based on high-resolution imagery. Our algorithms extract physical plant traits using object-based image analysis. By tracking these traits over time we determine how much produce a grower can harvest over the next few weeks.

 

We have commercially launched in our first crop (broccoli) in 2020 and are currently scaling up. 40% of all broccoli grown in The Netherlands already moves through our system! We work with major growers, purchasing organisations and retail (e.g. Lidl).

The Job

We are looking for an experienced data engineer to become part of our awesome 5-person all-star  product team!  You will work on our ETL pipelines and DBs to serve forecasts to our customers, provide our Machine Learning engineers with a steady flow of data and process the muddy data from our field operations. You will also be in charge of designing and implementing an agile testing framework for VanBoven.

 

Our rapidly changing startup environment demands flexibility and versatility in your daily work. You will be part of a multidisciplinary team consisting of people with various expertises working on a set of shared goals and responsibilities. Working within your domain is mixed with working cross-domain in order to ship new features as quickly as possible.

 

Our current stack is based on Python, Docker, Kubernetes, REST APIs, Django, React, Gitlab, Jira.​

Our requirements

  • Computer science background at Bsc or Msc level

  • Fluent in English. Dutch is a nice-to-have.

  • Pragmatic team player with a go-getter attitude

  • 5+ yrs as Python data engineer.

  • Experience building ETL pipelines and architecture.

  • Experience with cloud infrastructure (AWS/Google/Azure).

  • Experience in docker, microservice architecture.

  • Experience with different storage types and DBs.

  • Experience in designing and implementing tests (QA engineering).

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Some nice-to-haves are:

  • Experience in designing data pipelines for supporting ML workflows.

  • Experience with managing large volumes of image data.

  • Experience with spatial data.

  • Sucker for automation.

  • Love of vegetables.

What we offer

​VanBoven is located in The Hague, at walking distance from The Hague HS station, easy to reach by public transport. We offer a great opportunity to have a positive impact with an exciting new technology and team. Furthermore you will receive:

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  • Competitive salary

  • Company stock can be discussed

  • Flexible hours and option to work from home

  • 28 vacation days

  • Travel allowance

  • High-end laptop

  • Opportunity to grow with us!

Working at VanBoven

Florian.jpeg

Florian Perdreau, PhD

Lead Machine Learning Engineer

For me it’s all about working in a team of fun and talented people who combine their expertise and background to tackle problems that matter using cutting-edge algorithms and technologies.

Lars

Lars van Kleef

Machine Learning Engineer

I get to work on the future of feeding the world efficiently and sustainably, while applying my models on pretty images of broccolis in the fields. What more can I wish for?

Shiplu.png

Shiplu Mokaddim

Tech Lead

I can use modern techniques to solve real-world problems for the agriculture industry first hand. I also enjoy working in a pure cross-functional team. There is always something to learn!

Application procedure

​You can now directly apply for this vacancy:

  1. Send your CV and a short motivation to Kaz (kaz@vanboven-drones.nl)

  2. Have an informal chat with one of our founders through a (video)call

  3. Follow-up interview and assessment

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It's that simple. So, what are you waiting for? Apply now!

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