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Zühlke Group in Switzerland is seeking a Senior Data Engineer to design, implement, and maintain data pipelines and architectures across client projects. You will collaborate with clients to understand data needs and realise tailored solutions that drive business insights, while contributing to scalable data platforms in hybrid environments.
You will work with data scientists on machine learning models, develop meaningful dashboards, and assess performance and cost for various use cases.
Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.
If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.
As a Senior Data Engineer, you are a key player in designing, implementing, and maintaining data pipelines and architectures. You work closely with clients to understand their data needs and realise tailored solutions that drive business insights. Your technical expertise and strong methodology help you bring your projects and clients to success.
If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!
We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.