Edge-Cloud Data Engineer for Real-Time Vision Pipelines

Nedap; Netherlands; Hybrid; EUR 45,000 - 61,000; Full time

Benefits offered by this job

Thirteenth month

Pension scheme

Profit sharing / stock option

Job summary

Nedap is seeking a Data Engineer to design and build data pipelines across edge and cloud environments, enabling real-time and batch processing for our computer vision-based dairy-farm solution.

You will work with ML/CV engineers to productionize models and ensure robust, traceable data flows from edge devices to cloud storage and analytics platforms. The role is hybrid, with on-site collaboration at Groenlo, NL.

Qualifications

• Three+ years of experience as a Data Engineer or similar role.
• Strong Python skills for building data and ETL pipelines.
• Experience with embedded systems or resource-constrained environments.
• Familiarity with cloud services (e.g., Blob Storage, Event Hubs, AKS, ACR).
• Containerization experience with Docker and deploying containerized apps.
• Knowledge of video data and processing tools.
• Understanding of ML workflows and/or edge inference.

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 engineering

Embedded systems

Cloud services

Docker

Video data processing

ML workflows / edge inference

Tools

Docker

Job description

Nedap is seeking a Data Engineer to design and build data pipelines across edge and cloud environments, enabling real-time and batch processing for our computer vision-based dairy-farm solution.

You will work with ML/CV engineers to productionize models and ensure robust, traceable data flows from edge devices to cloud storage and analytics platforms. The role is hybrid, with on-site collaboration at Groenlo, NL.