Madrid IoT Edge Engineer — Azure & Edge-to-Cloud Lead

Babel Profiles; Madrid; On-site; EUR 55,000 - 75,000; Full time

Job summary

Babel Profiles in Madrid is seeking an autonomous IoT Edge Solutions Engineer to bridge factory-floor machinery with cloud platforms, designing robust edge-to-cloud connectivity and leading client implementations.

You will evaluate devices, configure edge hardware, and collaborate with engineering, data analytics, and product teams to optimise telemetry pipelines across industrial environments. Travel to client sites may be required.

Qualifications

• Experience with industrial IoT deployments and edge hardware integration.
• Strong knowledge of edge architecture, particularly Azure IoT Edge.
• Programming in Python, Java, or Node.js; familiarity with Docker, Linux, and Git.

Responsibilities

• Bridge the gap between physical machine instrumentation, edge devices, and cloud architecture.
• Extract and process operational telemetry directly from diverse industrial machinery, automated production lines, and legacy plant assets.
• Test, configure, and integrate edge hardware both in-house and during technical visits to industrial facilities.
• Partner closely with internal engineering, data analytics, and product teams to optimise edge-to-cloud data pipelines.
• Evaluate commercial hardware solutions and liaise with specialised suppliers to select edge gateways and sensors.
• Interface directly with maintenance leads, plant operators, and plant engineering teams during deployment phases.

Skills

Industrial IoT

Edge hardware integration

Azure IoT Edge

Python

Java

Node.js

Docker

Linux

Git

Willingness to travel

Self-direction

Tools

Azure IoT Edge

Docker

Linux

Git

Job description

Babel Profiles in Madrid is seeking an autonomous IoT Edge Solutions Engineer to bridge factory-floor machinery with cloud platforms, designing robust edge-to-cloud connectivity and leading client implementations.

You will evaluate devices, configure edge hardware, and collaborate with engineering, data analytics, and product teams to optimise telemetry pipelines across industrial environments. Travel to client sites may be required.