Data Engineer
Full-time – South Eveleigh, Sydney - AU
Salary Range – AUD $110k - $135k (Negotiable, ESOP options available)

About Syenta

Syenta is pioneering a new era in semiconductor manufacturing with our groundbreaking Localised Electrochemical Manufacturing (LEM) technology. Our manufacturing products build cutting edge advanced packaging for the semiconductor industry by combining patterning and metallization into a single tool. We do that by achieving high-speed, high-resolution metallization at significantly lower costs and energy use, while minimizing emissions and waste.

Join an innovative Australian startup poised to revolutionize Advanced Packaging in the semiconductor industry!

About the Role

Syenta is looking for a Data Engineer to design, build, and own the end-to-end data architecture supporting laboratory and technical operations. This role will establish scalable data pipelines, develop analytical dashboards to track process performance and generate insights, and implement and manage a Laboratory Information Management System (LIMS) that integrates tool and materials data.

Shape and implement Syenta’s AI strategy.

The ideal candidate will work closely with laboratory, operations, and other technical teams to translate lab workflows into reliable, actionable data systems.

Day to Day

• Design, implement, and maintain a scalable data architecture to collect, store, and manage technical data from multiple sources including automation of physical devices (i.e. laboratory metrology tools)
  
• Define governance and standards to ensure data integrity, traceability, and consistency across technical datasets
  
• Ensure appropriate data governance, access controls, and auditability for lab and operational data
  
• Develop and maintain dashboards and reports (i.e. Power BI or similar tools) for: Yield and performance monitoring, Tool utilization and capacity tracking, Tool uptime and reliability metrics, Laboratory performance
  
• Partner with key stakeholders to allow for system to track KPIs, metrics, and visualizations that drive decision-making
  
• Lead the design and implementation of LIMS to enable data management and traceability linking of systems, tools, and materials
  

About You

• Bachelor’s degree or equivalent in Data Engineering/Data Science, Computer Science, Engineering, or a related field
  
• 3+ years data management experience
  
• Experience designing and managing data architectures and data pipelines in a laboratory or manufacturing environment
  
• Preference with experience in data management for mechatronics systems
  
• Strong database skills and experience
  
• Experience building dashboards in Power BI or similar intelligence tools
  
• Experience with Python and data analysis packages EG, Pandas, SKLearn, etc.
  

Why Syenta?

We’re passionate about building a diverse, people-first company. We believe that our culture of collaboration and mutual respect fuels the kind of innovation that can redefine an industry. Here’s what you can expect:

• Equity Opportunities – We’re happy to discuss ownership stakes so that our success becomes your success.
  
• Work-Life Balance – Flexible leave policies and an understanding that meaningful work can coexist with a fulfilling personal life.
  
• Professional Growth – We’re scaling fast, so responsibilities can expand significantly in tandem with the business.
  

If you’re excited to take on this one-of-a-kind challenge in advanced hardware development, we want to hear from you — even if you don’t tick every box. Exceptional talent doesn’t always follow a checklist, so if this role sparks your interest, let’s talk.

Apply here, or send your CV and a short note to info@syenta.com.au for more information.