20 beste Stellen als research engineer in zürich zh – aktuell auf Personalsuche

About the Role

Imagine this you step into a role where data is not just infrastructure it is the backbone of every critical decision and breakthrough. As a Data Engineer you will take ownership of evolving and strengthening our data ecosystem transforming fragmented pipelines into scalable high-performance systems. This is a hands-on role where you directly remove bottlenecks unlock faster processing and enable teams across the company to access reliable high-quality data. Your work will set the foundation for future data visualization capabilities and smarter metadata management powering the next wave of innovation in our aerospace systems.

At Destinus, we are shaping the future of defense through high-speed, autonomous flight technologies. We develop next-generation unmanned aerial systems that deliver greater speed, precision, and efficiency, supporting governments and defense organizations in mission-critical operations worldwide.

Daedalean AG, the AI and autonomy hub of the Destinus Group, plays a key role in this vision. Developing safety-critical AI systems at the intersection of advanced research and real-world aviation. Enabling machines to perceive, understand, and make decisions in real time.

Together, we combine aerospace engineering and artificial intelligence to build the next generation of autonomous flight systems, driving innovation where it matters most.

What You’ll Do

Restructure and maintain existing data pipelines to increase operational flexibility, ensuring non-standard data formats and incoming project requests can be efficiently processed.
Provide dedicated support and maintenance for current data tooling to eliminate workflow bottlenecks.
Lead the next phase of data infrastructure by designing and building advanced tools for granular data visualization and manipulation.
Implement and manage robust metadata frameworks to provide a comprehensive understanding of existing data assets.
Monitor, troubleshoot, and resolve issues within the data architecture to ensure reliability and performance.

Requirements

What You’ll Need

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related

quantitative field or equivalent practical experience.
Proven track record in data engineering, with specific experience in building, maintaining, and restructuring complex data pipelines (ETL/ELT).
Strong programming skills and proficiency in SQL are a must, C++, Go and Rust will be a plus.
Hands-on experience with cloud object storage, specifically Amazon S3, and version control systems (git) for managing codebase changes.
Familiarity with modern data processing frameworks and database management systems.
Familiarity with metadata management practices and data visualization concepts.
Strong analytical skills with a proven ability to identify bottlenecks and optimize systems for speed, quality, and scale.

Who You Are

You thrive when you have ownership and autonomy. You do not wait for tasks to come to you; you take initiative and keep things moving. You are detail-driven but also practical, understanding that speed and accuracy need to coexist. You enjoy being in the middle of operations, where your work has immediate impact. When things get messy, you bring structure. When processes break, you fix them. You are reliable, proactive, and ready to take control of your domain.

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