About ONIQ
ONIQ is on a mission to transform manufacturing for a more sustainable and efficient future. With IQA, our Production Excellence Software, we are pioneering a new category in industrial tech - combining lean production principles with AI, process mining, and advanced data analytics. Our software empowers manufacturers to systematically identify inefficiencies, accelerate improvements, and scale operational excellence across their global production networks.
We are a highly motivated team with a strong sense of ownership and passion for what we do. Our entrepreneurial mindset and commitment to innovation have enabled us to grow fast and shape the future of digital lean and green manufacturing. At ONIQ, culture is just as important as product. We foster an environment rooted in authenticity, diversity, integrity, and mutual respect - where everyone is encouraged to bring their whole self to work.
What you will do
You will work closely with our Customer Success and Product Development teams to help manufacturing companies bring their data into IQA, our SaaS solution for digital lean management. As a Data Analytics Engineer, you will be responsible for the preparation, validation and integration of customer data. You will play a crucial role in making customer data come alive in IQA and helping manufacturers run more efficiently than ever before. Your tasks include:
- Analyzing, understanding, and processing manufacturing process data from our customers to enable a smooth onboarding experience
- Developing robust data processing pipelines and workflows that enable fast, efficient, and reliable onboarding and continuous data integration for our customers
- Creating customer value by exploring customer usage patterns to help improve our software and ensure IQA delivers measurable impact
- Being the link between data and people by engaging directly with customers to gather data, understand requirements, and plan for ongoing data ingestion and integration
- Simulating manufacturing processes to generate synthetic datasets for demos, testing, and validation of new IQA features