Hands-on experience with SQL and Python for data processing and automation. Initial experience with the use of AI tools for data analysis or process automation……
Development of a reliable data management system to ensure full traceability during production as well as implementation of potential machine learning……
You will run projects together with our customer’s engineering teams, analyze and process engineering data using our platform and python libraries, and develop……
You’ll work directly with business and engineering teams to turn operational problems into scalable AI solutions, rapidly prototype new ideas, and help deploy……
Collaborate with engineering teams to identify use cases and explore how technologies such as agentic AI, MCP, RAG, machine learning, automation, and other AI……
Interest in high-volume production, process automation, control engineering and medical manufacturing. Collaborate with senior engineers to analyze, map, and……
Experience deploying perception, mapping, or autonomy systems on real-world robots, construction machines, mining vehicles, agricultural machines, autonomous……
Gather control system requirements and compile all relevant technical documentation. As part of a multidisciplinary team of technicians and engineers, you will……
You don't need to be a dbt expert, but you must be comfortable exploring messy data and partnering on (or building) the models you need rather than waiting for……
Collaborate with engineering teams on making technical decisions on a system level. Validate system behavior across machines, environments, and operating……
Back up of the Solutions activity in case of needs. Act as a liaison between Bankers, Advisors, Middle Office, and Back Office teams to ensure seamless……
We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or……
We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective……
AI-based control systems for heavy machinery. Environment perception and navigation planning. Currently pursuing a degree at a Swiss university.…
"Prompt engineers" with no production experience. Demonstrable production experience with LLM applications: at minimum structured extraction with LLMs, and……
Process Interface: Interface directly with the Process and Yield Engineering teams to collect manufacturing requirements and design rules, and design necessary……
To be successful in this role you should have experience working with real robots, tackling the challenges of sim2real transfer, and deploying robotic systems……
Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware,……
To do so, we developed a specialized heavy-machinery retrofitting kit featuring a number of different sensors, communication and networking devices and compute……
You will run projects together with our customer’s engineering teams, analyze and process engineering data using our platform and python libraries, and develop……
You will design and implement reusable software components, test system drivers, hardware interfaces and automation tools that connect measurement devices,……
You will work together with an international team of developers producing software which will be used by most major broadcasters around the globe.…
Partner with biologists to turn new assays into reliable automated workflows, then keep them running: diagnosing and fixing the mechanical, electrical, and……
Design, implementation, and maintenance of ETL processes to ensure a structured and reliable data foundation
Automation and optimization of data processes and recurring workflows (e.g. using Python and SQL)
Close collaboration with business stakeholders to translate business requirements into data-driven solutions
Support for Finance and Controlling in data analysis, reporting, and performance tracking
Development and continuous improvement of BI dashboards as well as scalable reporting solutions
Identification and implementation of optimization potentials in existing processes and systems
Use of modern technologies (including AI tools) to increase efficiency and further develop analyses and processes
Your Skills and Experience
Completed Bachelor’s or Master’s degree in Data Science, Business Analytics, Computer Science, or a related field
Strong knowledge of data analysis, data modeling, and data management
Hands-on experience with SQL and Python for data processing and automation
Experience with BI tools (e.g. Power BI)
Solid knowledge of developing and using ETL processes and data pipelines
Initial experience with the use of AI tools for data analysis or process automation is an advantage
Interest in Finance and Controlling processes (e.g. FP&A, reporting, planning)
Strong analytical mindset combined with a structured and precise working approach
Team player with the ability to collaborate effectively with both technical and business stakeholders
Very good command of English
Why Join Us
This role offers opportunities for growth into advanced data engineering positions and exposure to modern data technologies, analytics, and machine learning projects. Data Engineers are encouraged to pursue ongoing training and participate in Sika’s evolving global analytics platform.
We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.
About Sika
Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and industry. Sika has subsidiaries in 103 countries around the world, produces in over 400 factories, and develops innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and transportation industries toward greater environmental compatibility. Approximately 33,000 employees generated CHF 11.20 billion in sales in 2025.