<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>Senior Data Engineer<br/></strong>Zürich Metropolitan Area (Hybrid)<br/> <br/><strong>Senior Data Engineer | Zurich | Hybrid<br/></strong> <br/><ul><li>Build scalable data platforms and pipelines that enable organisations to turn complex data into actionable insights.</li><li>Work with modern data technologies, cloud platforms, and distributed systems in a collaborative, innovation-driven engineering environment.</li></ul> <br/>We’re currently looking for an experienced <strong>Senior Data Engineer </strong>to join a high-performing consulting and engineering team delivering data-driven solutions for clients across Switzerland.<br/>If you enjoy designing robust data architectures, working with large-scale datasets, and enabling advanced analytics and machine learning, this is a great opportunity to work on impactful and technically challenging projects.<br/> <br/><strong>What you’ll be doing<br/></strong>As a Senior Data Engineer, you will:<br/><ul><li>Design and implement scalable data pipelines and architectures (cloud and on-premise)</li><li>Integrate, transform, and manage data from diverse sources in a reliable and reproducible way</li><li>Build, test, and monitor distributed data processing systems</li><li>Collaborate with data scientists to enable machine learning use cases</li><li>Optimise performance and cost of data platforms and pipelines</li><li>Develop dashboards and visualisations to communicate insights effectively</li><li>Work closely with clients and stakeholders to translate business needs into technical solutions</li><li>Contribute to best practices in data engineering and support knowledge sharing within the team</li></ul> <br/><strong>Tech stack<br/></strong>You will work with modern data technologies including:<br/>Python • SQL • Apache Spark • Hadoop • Hive • Airflow<br/>RDBMS • NoSQL databases • Distributed systems<br/>AWS • Azure • Google Cloud Platform<br/>Kubernetes • DevOps practices • Java / .NET (nice to have)<br/> <br/><strong>What we’re looking for<br/></strong><ul><li>5+ years experience in Data Engineering or similar technical roles</li><li>Strong experience with Python, SQL, and data pipeline development</li><li>Solid understanding of distributed systems and scalable data architectures</li><li>Experience working with Big Data technologies and cloud platforms</li><li>Strong problem-solving skills and a structured, solution-oriented mindset</li><li>Degree in Computer Science, Mathematics, or a related field</li></ul><strong>Nice to have<br/></strong><ul><li>Experience with machine learning workflows and data science collaboration</li><li>Exposure to DevOps practices and containerisation (e.g. Kubernetes)</li><li>Consulting or client-facing experience</li></ul><strong>Languages<br/></strong>German and English – both required (B2–C1+ level)<br/><strong>What’s on offer<br/></strong><ul><li>Hybrid working with flexible hours and home office options</li><li>Competitive salary plus performance-based profit share</li><li>Opportunity to work on diverse, high-impact data projects across industries</li><li>International and collaborative engineering culture</li><li>Strong focus on continuous learning and professional development</li><li>Inclusive environment with regular team events and knowledge sharing</li></ul><p> </p> </div>