Senior Data Engineer

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. The role 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. How you’ll make an impact Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready. You access diverse data sources efficiently and reproducibly. You design, test, and monitor distributed data processing pipelines. You work closely with data scientists in the creation of machine learning models. You perform performance and cost estimations for various use cases. You develop and create meaningful dashboards to visualize processed data. What’s important to us You are comfortable with Big Data, massively scalable databases, cloud infrastructures, and distributed algorithms. You have a passion for sustainable software development and have gathered several years of experience in technical roles. Along with your expertise in Python and SQL, you ideally have hands‑on experience or a strong interest in technologies such as Hadoop, Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes, and Java or .NET. You have a good understanding of the capabilities in large public cloud environments and may have used resources from Amazon AWS, MS Azure, or Google’s GCP. You hold a university degree (ETH, Uni, FH) in Computer Science, Mathematics, or a similar field. Fluency in both German and English is required for this position. What we offer Work life blend: we offer a safe