You will join a product-driven team working on a next-generation Digital Twin SaaS platform. The product provides a real-time, end-to-end view of complex industrial processes, enabling data-driven decision-making at scale.

As a Data Engineer, you operate at the intersection of data integration, platform engineering, and business understanding. You help translate complex business data into a robust, scalable graph-based data model that powers advanced analytics and optimization use cases. This is a hands-on engineering role within a fast-growing product environment, working closely with backend engineers, data scientists, DevOps, and solution experts.

What you’ll do

• Design, build, and evolve a scalable data integration framework that feeds a graph-based digital twin of large industrial processes.
• Integrate data from diverse client systems and sources, ensuring consistency, performance, and correctness across complex data flows.
• Develop and optimize ETL pipelines capable of processing large-scale datasets efficiently in cloud-based environments.
• Continuously improve pipeline performance by reducing processing times, increasing throughput, and preparing the platform for future scale.
• Contribute to the design and implementation of new features in the data integration layer, supporting product evolution.
• Collaborate closely with cross-functional teams across the full development lifecycle, from solution design and implementation to testing and rollout.
• Write clean, maintainable, and well-documented code that supports long-term platform stability.
• Take ownership of data integration tracks within projects, ensuring clear communication, documentation, and alignment with stakeholders.