Field Engineer - Manufacturing Equipment Automation

Ailoys GmbH
Berlin, Germany
27 days ago
Apply on www.adzuna.de
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Computer Programming Data Integration R (Programming Language) Python (Programming Language) Machine Learning NumPy SQL Databases Cloud Platform System Pandas Real Time Data

Job description

  • Analyze customers’ manufacturing processes to identify critical inputs and process parameters influencing product quality.
  • Select, install, and integrate specific sensors to transform manufacturing equipment into IoT-enabled devices.
  • Collaborate with customers to understand their quality systems and ensure Six Sigma standards where applicable.
  • Work with controllers from leading manufacturers (e.g., Siemens, ABB) to integrate our solutions to the existing systems.
  • Transform and communicate data to cloud-based platforms for analysis and optimization.
  • Commission factory automation systems, ensuring smooth implementation and functionality.
  • Support the successful execution of digitalization projects with hands-on expertise.

Requirements

  • Strong knowledge of sensor technologies and industrial IoT systems.
  • Experience with non-destructive testing (NDT)
  • Ideally experienced with data analysis using big data and machine learning (Python, Pandas, NumPy).
  • Understanding of manufacturing processes, preferably of metal deformation theory and wire drawing automation.
  • Proficiency in quality systems, Six Sigma methodologies, and manufacturing standards.
  • Hands-on experience with factory automation systems and controllers (Siemens, ABB, or others).
  • Evidence of significant contributions to the implementation of manufacturing automation and digitalization projects.
  • Ability to work independently and collaboratively to deliver technical solutions in dynamic and collaborative environments.
  • Knowledge of programming and data integration tools such as SQL, Python and R.
  • Eligibility to work in the EU is required.
  • A minimum of 4-6 years of relevant work experience is required.

Preferred Qualifications

  • Familiarity with real-time data acquisition and monitoring in manufacturing environments.
  • Experience in wire drawing automation or similar metal deformation processes.
  • Background in commissioning automation systems and integrating them with cloud platforms.

Benefits & conditions

  • A competitive salary that recognizes your skills and contributions.
  • Be part of a fast-growing, innovative team with opportunities for professional growth.
  • Contribute to impactful projects with leading global manufacturing companies.

If you are passionate about driving innovation in manufacturing and have the technical expertise to match, we’d love to hear from you!

About the company

At Ailoys GmbH, we are transforming the manufacturing landscape by integrating advanced technologies like IoT, sensor systems, AI and machine learning. Our mission is to empower manufacturing facilities with smarter processes, improved quality, and enhanced efficiency. We are looking for a talented Field Engineer to join our innovative team and make a tangible impact on the industry.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.de
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:08 min

Challenges of deploying software in brownfield manufacturing environments

Freya Menzel Freya Menzel +1 · Europe 2026 Virtual

1:25 min

Replacing NumPy with cuPy for straightforward GPU acceleration

Paul Graham Paul Graham · World Congress 2025

3:46 min

Scaling AI applications within standard manufacturing processes

Antonella Mei-Pochtler Antonella Mei-Pochtler +3 · World Congress 2026 Europe

Videos

See all

Related articles

See all