Magnet.me  -  Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.

Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.

Deze vacature is verlopen. Je kunt daarom niet meer liken of solliciteren.

Vergelijkbare vacatures bekijken

Data Engineer for AI-in-Agriculture Startup

Geplaatst 23 mrt. 2024
Werkervaring
0 tot 5 jaar
Full-time / part-time
Full-time
Soort opleiding
Taalvereisten
Engels (Vloeiend)
Nederlands (Basis)

Je carrière begint op Magnet.me

Maak een profiel aan en ontvang slimme aanbevelingen op basis van je gelikete vacatures.

Ready to board a startup during launch? Are you crazy about ETL pipelines, virtual environments, databases, the cloud and docker containers? And do you have a weak spot for broccolis? Then this is just for you!

VanBoven, an AI-in-Agriculture startup, is looking for a versatile data-engineer that can become our back-end expert and help us move from a Minimum Viable (Startup talk for a quick and dirty) solution to a scalable data processing pipeline. You will lead this effort, develop your own vision and implement it. You will work amongst our team of machine learning experts and front-end developers, as well as our founding team and support students.

What we ask of you

  • A degree in a relevant field at Msc. level.
  • Relevant experience using Python for data analysis and pipelining.
  • Experience with relevant technologies (ETL tools, databases, docker).
  • Experience with data engineering using AWS, GCP or Azure.
  • Enjoy working in small teams and a startup environment.
  • Enjoy taking ownership of, and responsibility for, technical challenges through a pragmatic and hands-on approach.
  • Be a generalist, a quick learner and provide shoulders that can carry a company.
  • Nice to have: experience with geo-data (postGIS db, shapefiles etc.)

Don’t tick all the boxes? Don’t worry too much! As long as you are willing to learn, we are willing to invest in you.

What you will be doing

  • Design the data processing pipeline in consultation with the development team.
  • Determine our strategy with regards to local versus remote (cloud) processing from both a technical and business viewpoint.
  • Implement your design and create an automated data processing pipeline.
  • Plan your work and manage your own projects and time.
  • Work towards your goals in two-week sprints.
  • Use version control, perform unit testing and generally be a sensible professional.
  • Build a small team when necessary.

What we offer

  • The Startup experience: small team, no rules, no limits. About as flexible as it gets.
  • High level of autonomy: you will be part of a small team of experts.
  • Competitive salary.
  • Yearly budget for training.
  • One-time budget for your personal workstation.
  • 28 days of paid holiday per year.
  • Friday afternoon drinks, team activities and a great group of peers.

About VanBoven

VanBoven is a Dutch Agri-Tech startup in The Hague founded in 2018 by TU Delft and Wageningen University alumni. VanBoven provides farmers with accurate harvest predictions, based on drone-imagery and other sources of information. Using machine learning, VanBoven can identify and analyze each and every single plant in fields spanning many football fields.

VanBoven has an office in The Hague, on walking distance from Den Haag Holland Spoor station. There we develop our product, establish our business strategy, do sales and recruit new team members. Together we are working on a mission to change the agricultural world for the better. VanBoven currently has a team of 8 people and a flat organizational structure.

Even though we are a startup, VanBoven is by no means a playing ground – we have a validated business case, sufficient financing, a handful of big farming customers, partnerships with universities and a commitment to our investors and partners. It's serious business.

Data Engineering Challenges

Our customers gather data: a few gigabytes of image data for every flight they perform. This data is transferred to us, so that we can have our algorithms analyze this imagery. Our algorithms can identify and determine the physiological traits of every single plant in fields with over 150k plants.

As our Data Engineer it is your task to design and build the infrastructure required to collect data, run all processing steps and store the results so they can be accessed from our front-end. Your solution will be the backbone of our company and therefore touches upon several strategic elements of running a startup. This means your solution should meet technical as well as strategic and financial requirements: an interesting and challenging mix.

Your day at VanBoven

As a developer you will have a desk at our office in The Hague together with a young and motivated team. Working hours are flexible and working remotely is always an option. You will participate in our weekly technical meetings to make sure you're aligned with the other engineers. In the end we're all working on the same product.

Interested?

I’d love to show you our office and tell you more about what we do. I can show you some examples of what our algorithms are currently capable of, and the challenges we are facing. Please contact me (Kaz) by phone or mail so we can schedule a call or appointment. You can reach me at +31 6 38 31 25 58 or kaz@vanboven-drones.nl

Bij VanBoven werk je aan een duurzame toekomst voor de land- en tuinbouw waarin data, drones en machine learning een belangrijke rol spelen. VanBoven analyseert agrarische drone-opnamen en past machine learning algoritmen toe om de oogst per individuele plant te voorspellen. De inzichten die hieruit volgen worden overzichtelijk aan de boer én zijn afnemers getoond waarmee de gehele waardeketen, van 'farm to fork', wordt geoptimaliseerd.

Engineering
Den Haag
Actief in 1 land
8 medewerkers
70% mannen - 30% vrouwen
Gemiddeld 25 jaar oud

Dit zeggen medewerkers

Juliette

Data Analysis Intern

Juliette

Tijdens mijn stage wilde ik graag leren werken met Python. Ik kreeg de ruimte om, samen met medeoprichter Eric, een opdracht vast te stellen waarin ik mezelf kon ontwikkelen op dat gebied. Zo heb ik geleerd wat ik wilde én een leuke tijd gehad.

Martijn

Thesis Student

Martijn

Bij VanBoven wordt er naar je geluisterd. Het team staat open open voor een andere invalshoek of nieuwe aanpak. Zo krijg ik de ruimte zelf te bepalen welke oplossing het best is en die ook uit te voeren.