Digital Manufacturing Engineer – MES & Industrial Automation | Wisconsin

Digital Manufacturing Engineer – MES

📍 Location: Waukesha, Wisconsin
🏢 Work Model: Primarily Onsite (Flexible for appointments, weather events, etc.)
💼 Employment Type: Full-Time
💰 Base Salary: $105,000 – $120,000
🎯 Bonus Eligible: Yes
✈️ Travel: Occasional
🎓 Education: Bachelor’s Degree Required

Role Overview

We are seeking a Digital Manufacturing Engineer (MES) to join a corporate Advanced Manufacturing team driving digital transformation across multiple manufacturing sites.

This role focuses on building and integrating shop-floor digital solutions that enable manufacturing teams to operate more efficiently, accurately, and intelligently. You will solve complex operational challenges using MES, analytics, and enterprise integration — while leading projects and mentoring others.

This is a hands-on, high-impact engineering role at the center of a broader digitalization strategy.

What You’ll Be Doing

🔹 MES & Shop-Floor Application Development

• Build and deploy Tulip applications with MES as a primary focus

• Integrate MES platforms with enterprise systems such as:

• SAP

• CMMS

• Other operational platforms

• Support troubleshooting and continuous improvement of deployed MES systems

🔹 Data & Analytics

• Design and maintain dashboards using:

• Power BI

• Tulip Analytics

• Ensure accuracy and integrity of manufacturing data

• Develop cloud-based reporting and analytics solutions

🔹 OT & Enterprise Integration

• Integrate OT systems with enterprise platforms using:

• REST APIs

• OPC

• MQTT

• Work with PLCs, SCADA, QMS, and data historians

• Support lab testing and onsite proof-of-concept initiatives

🔹 Continuous Improvement & Support

• Support end-of-line test cell enhancements

• Participate in an on-call rotation for after-hours support

• Lead training and knowledge transfer sessions for operations teams

• Manage project schedules, budgets, and scope changes

Required Qualifications

• Bachelor’s degree in:

• Engineering

• Industrial Technology

• Business (with relevant experience)

• 5+ years of progressive experience supporting manufacturing technology

• Hands-on experience designing or supporting shop-floor software solutions

• Experience working with MES platforms

Preferred Qualifications

• Experience managing technical projects (requirements, budgets, timelines)

• Strong understanding of manufacturing systems including:

• MES

• QMS

• PLCs

• SCADA

• Data Historians

• CMMS

• Programming experience in:

• Python

• JavaScript

• C#

• Strong SQL experience (complex queries, stored procedures, triggers)

• Experience with OPC servers and industrial data tags

• Experience integrating OT systems with enterprise platforms

• Cloud-based analytics/reporting experience

• Ability to lead workshops and gather complex manufacturing requirements

Ideal Candidate Profile

• Strong understanding of how digital tools improve shop-floor performance

• Experience diagnosing and resolving MES errors

• Comfortable handling multiple change requests

• Able to translate machine limitations, bottlenecks, and VOC into technical solutions

• Practical, solutions-oriented mindset

• Capable of balancing hands-on development with strategic project leadership

Why This Role Stands Out

• High-visibility digital transformation initiatives

• Modern, state-of-the-art manufacturing facility

• Collaborative Advanced Manufacturing team

• Flexibility when needed (appointments, weather events, etc.)

• Bonus eligibility and strong benefits package

• Strong culture focused on innovation and operational excellence

Benefits Overview

• Medical, Dental, Vision

• 401(k)

• Bonus eligibility

• Modern facility amenities

• Employee engagement programs

• Product discount programs

Data Engineer | Azure, Databricks, Python, SQL, Spark | Hybrid – Netherlands (€3,500–€5,000/month)

Data Engineer

📍 Location: Eindhoven area or Randstad, Netherlands (Hybrid – 3 office days / 2 home days)
💼 Employment Type: Full-time
💵 Salary: €3,500 – €5,000 per month (€45,360 – €64,800 annually)
🎯 Experience Level: Mid-level | 2–3 years’ experience

About the Role

Do you love working with data — from digging into sources and writing clean ingestion scripts to ensuring a seamless flow into a data lake? As a Data Engineer, you’ll design and optimize data pipelines that transform raw information into reliable, high-quality datasets for enterprise clients.

You’ll work with state-of-the-art technologies in the cloud (Azure, Databricks, Fabric) to build solutions that deliver business-critical value. In this role, data quality, stability, and monitoring are key — because the pipelines you create will be used in production environments.

Key Responsibilities

• Develop data connectors and processing solutions using Python, SQL, and Spark.

• Define validation tests within pipelines to guarantee data integrity.

• Implement monitoring and alerting systems for early issue detection.

• Take the lead in troubleshooting incidents to minimize user impact.

• Collaborate with end users to validate and continuously improve solutions.

• Work within an agile DevOps team to build, deploy, and optimize pipelines.

Requirements

• 🎓 Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

• 2–3 years of relevant experience in data ingestion and processing.

• Strong knowledge of SQL, Python, and Spark.

• Familiarity with container environments (e.g., Kubernetes).

• Experience with Azure Data Factory, Databricks, or Fabric is a strong plus.

• Experience with data model management and dashboarding (e.g., PowerBI) preferred.

• Team player with strong communication skills in Dutch and English.

• Familiarity with enterprise data platforms and data lakes is ideal.

What We Offer

• 💶 Salary: €3,500 – €5,000 per month

• 🌴 26 vacation days

• 🚗 Lease car or mobility budget (€600)

• 💻 Laptop & mobile phone

• 💸 €115 monthly cost allowance

• 🏦 50% employer contribution for health insurance

• 📈 60% employer contribution for pension scheme

• 🎯 Performance-based bonus

• 📚 Training via in-house Academy (hard & soft skills)

• 🏋️ Free use of on-site gym

• 🌍 Hybrid work model (3 days in office, 2 days at home)

• 🤝 Start with a 12-month contract, with option to move to indefinite after evaluation

Ideal Candidate

You are a hands-on data engineer who enjoys data wrangling and building robust pipelines. You take pride in seeing your code run smoothly in production and know how to troubleshoot quickly when issues arise. With strong technical skills in SQL, Python, and Spark, plus familiarity with cloud platforms like Azure, you’re ready to contribute to impactful enterprise projects.

👉 Ready to make data flow seamlessly and create business value? Apply now to join a passionate, innovation-driven team.