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Zühlke Group is seeking an Expert Data Engineer in Schlieren, Switzerland, to design and maintain data pipelines that drive business insights. This role requires fluency in both German and English along with expertise in Python, SQL, and various Big Data technologies.
The ideal candidate has experience in cloud infrastructures and a passion for sustainable software development, alongside a university degree in a relevant field. Flexible working hours and a supportive workplace culture are part of the offering.
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 an Expert 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.