Senior Data Engineer (m/f/d) for the manufacturing industry

To continue and shape the successful growth path of Option 4.0 (https://www.option40.com/de/), we are looking for a highly motivated Senior Data Engineer (m/f/d) for our customers from the manufacturing industry.
Your Impact: Expanding the competencies of the Smart-Milling team in industrial data analysis, process understanding, and Operational Excellence. The role combines engineering, analytics, software, and cloud operations and contributes to turning industrial data into real customer value.

• You design, build, and maintain scalable data pipelines to make complex industrial process and sensor data reliably available
• You support experimentation and research activities and transfer prototypes (e.g., from Data Science) into performant, production-ready software solutions
• You optimize the CI/CD pipelines for data products, automate deployments, and increase the reliability and efficiency of the cloud infrastructure
• You work at the interface between software engineering, Data Science, R&D, and subject matter experts to bring data-driven features directly into product development
• You ensure high data quality and consistent data models so that subject matter experts and analytics teams can access valid data
• You analyze and aggregate high-frequency sensor and time-series data (e.g., from Azure Event Hubs / IoT Hubs) using Kusto Query Language (KQL) and make massive data streams usable for downstream analytics and monitoring systems

Must-have

• You bring a solid background in engineering or analytics at a senior level and possess strong skills in data analysis and root cause analysis
• You convince through the ability to analyze complex industrial systems and derive actionable insights from them
• Practical experience with Python as well as demonstrable experience in the design and implementation of ETL/ELT processes for large, real-world datasets
• You combine strong problem-solving and communication skills and enjoy working in an interdisciplinary R&D environment and with Agile methods
• Willingness to be on-site at least 3 days per week in the St. Gallen area
• You enjoy working in an international customer environment and communicate fluently in German and English in everyday work

Ideally, you also bring:

• Practical experience in the field of DevOps (CI/CD, cloud operations e.g., in the Microsoft Azure world, monitoring)
• Experience with Azure Data Lake as well as a basic understanding of Data Governance and data architectures
• Knowledge in the process or manufacturing industry, industrial automation, IoT, or sensor technology
• You bring a good basic understanding of statistical models and Machine Learning – not to train models yourself, but to precisely understand the requirements of our Data Scientists and to seamlessly transfer their prototypes into production
• Experience in the technical support or execution of customer projects
• Become an active part of a success story: A fast-growing and economically successful group in the IT sector.
• We combine the best of two worlds: Flexible home office (maximum 2 days) and personal exchange in the office in Winterthur and at the customer near St. Gallen
• A team of engineers who love what they do
• Annual company workation: We spend one week together in the Bündner Alpen
• Competitive compensation and employee benefits (GA Abo, subsidy for lunch and gym)