Edge-to-Cloud Data Engineer for Smart Farming

Nedap Beveiligingstechniek B.V.; Groenlo; Hybrid; EUR 45,000 - 61,000; Full time

Benefits offered by this job

thirteenth month

good pension scheme

profit sharing with the opportunity to

shareholder of Nedap

Job summary

Nedap is seeking a Data Engineer in Groenlo, Netherlands to design and build data pipelines from edge devices to the cloud, enabling real-time and batch processing for our smart, scalable platform. You will collaborate with ML/CV engineers to ensure data flows are efficient, resilient, and traceable, helping deploy models at the edge and deliver impact to customers.

As part of the Expansion team, you will own end-to-end data flows, work with cross-functional experts, and contribute to a culture

Qualifications

• At least three years of experience as a Data Engineer or in a similar role.
• Strong Python skills for building data and ETL pipelines.
• Experience with embedded systems or resource-constrained environments.
• Familiarity with cloud services (Blob Storage, Event Hubs, AKS, ACR).

Responsibilities

• Design and build robust pipelines for real-time and batch processing across edge and cloud environments.
• Maintain reliable data flows from cameras and embedded sensors for training and inference.
• Collaborate with ML engineers to productionize models and deploy them on the edge.

Skills

Python

ETL pipelines

Data pipelines

Tools

Docker

AKS

ACR

Blob Storage

Event Hubs

Job description

Nedap is seeking a Data Engineer in Groenlo, Netherlands to design and build data pipelines from edge devices to the cloud, enabling real-time and batch processing for our smart, scalable platform. You will collaborate with ML/CV engineers to ensure data flows are efficient, resilient, and traceable, helping deploy models at the edge and deliver impact to customers.

As part of the Expansion team, you will own end-to-end data flows, work with cross-functional experts, and contribute to a culture