Senior Data Engineer

None  •  IT & Software  •  Zürich, Switzerland

<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>Senior Data Engineer</p><p>📍 Zurich | Hybrid</p><p><br/></p><p>Join a Leading Technology Consultancy Driving Data Innovation</p><p><br/></p><p>A leading technology and digital engineering consultancy is seeking an experienced Senior Data Engineer to join its growing Data &amp; AI practice, helping organisations transform complex data into meaningful business outcomes.</p><p>Working across a diverse portfolio of enterprise clients, you will design and deliver modern data platforms, scalable data pipelines, and cloud-native solutions that enable advanced analytics, machine learning, and data-driven decision making.</p><p>This is an opportunity to join a highly collaborative consulting environment where innovation, technical excellence, and continuous learning are at the heart of every project.</p><p><br/></p><p>The Opportunity</p><p>As a Senior Data Engineer, you will play a key role in architecting, building, and optimising data solutions for clients across a range of industries. Working alongside Data Scientists, Software Engineers, Cloud Architects, and business stakeholders, you will help organisations unlock the full value of their data assets.</p><p><br/></p><p>You'll be involved throughout the project lifecycle, from requirements gathering and solution design through to implementation, optimisation, and operational support.</p><p>This role combines technical depth, client engagement, and consulting responsibility within a modern cloud and data engineering environment.</p><p><br/></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable data platforms and processing pipelines.</li><li>Integrate and transform data from multiple structured and unstructured sources.</li><li>Develop, test, monitor, and optimise distributed data processing workflows.</li><li>Collaborate with Data Scientists to support machine learning and AI initiatives.</li><li>Deliver performance, scalability, and cost optimisation assessments.</li><li>Design and implement reporting, analytics, and dashboarding solutions.</li><li>Support clients in establishing modern, data-driven operating models.</li><li>Contribute to architecture decisions, technical best practices, and engineering standards.</li><li>Work directly with stakeholders to understand business requirements and translate them into technical solutions.</li><li>Support cloud migration and modernisation initiatives.</li></ul><p><br/></p><p>Technical Environment</p><ul><li>Python</li><li>SQL</li><li>Apache Spark</li><li>Hadoop Ecosystem</li><li>Apache Hive</li><li>Apache Airflow</li><li>Relational Databases (RDBMS)</li><li>NoSQL Databases</li><li>Kubernetes</li><li>DevOps &amp; CI/CD Practices</li><li>AWS, Microsoft Azure and Google Cloud Platform (GCP)</li><li>Java and/or .NET (desirable)</li><li>Machine Learning &amp; Analytics Platforms</li></ul><p><br/></p><p>What We're Looking For</p><ul><li>Strong experience in Data Engineering, Data Platform Engineering, or Big Data environments.</li><li>Proven expertise with Python and SQL.</li><li>Experience designing and supporting distributed data processing systems.</li><li>Strong understanding of cloud-native architectures and modern data platforms.</li><li>Experience working with large-scale datasets and high-volume processing workloads.</li><li>Exposure to technologies such as Spark, Hadoop, Hive, Airflow, Kubernetes, and NoSQL databases.</li><li>Understanding of DevOps principles and automated deployment practices.</li><li>Experience delivering solutions within AWS, Azure, or GCP environments.</li><li>Strong stakeholder engagement and consulting skills.</li><li>Degree in Computer Science, Mathematics, Engineering, or a related discipline.</li><li>Fluent German and English communication skills.</li></ul><p><br/></p><p>Why Apply?</p><ul><li>Work on complex and innovative data transformation projects.</li><li>Collaborate with highly skilled Data Engineers, Architects, and AI specialists.</li><li>Gain exposure to modern cloud, analytics, and machine learning technologies.</li><li>Flexible and hybrid working environment.</li><li>Strong focus on professional development and continuous learning.</li><li>Opportunity to influence architecture and technology decisions.</li><li>International and collaborative engineering culture.</li><li>Annual profit-sharing scheme linked to company performance.</li><li>Long-term career growth within a recognised technology consultancy.</li></ul><p><br/></p><p>Additional Information</p><ul><li>Full-time permanent position.</li><li>Hybrid working model available.</li><li>German and English language skills required.</li><li>Competitive salary and benefits package.</li><li>Professional development and training support provided.</li></ul><p>Interested in learning more? Apply today for a confidential discussion.</p> </div>

Job Overview
  • Datum der Veröffentlichung

    Jun 08, 2026

  • Kategorie

    IT & Software

  • Job Type

  • Standort

    Zürich, Switzerland

  • Arbeitgeber

    Trust In SODA

  • Source

    LinkedIn