<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Who we are</strong></p><p><br/></p><p>SII Group is a trusted technology partner, SII provides high value added solutions for the IT projects of many large corporations. Since its founding in 1979, the Company has been providing solutions adapted to its clients’ needs, by relying on :</p><p><br/></p><p>&gt; Its acknowledged expertise in various industries and sectors</p><p>&gt; Proven 'turnkey' solutions</p><p>&gt; An efficient quality system</p><p>&gt; Adaptable, evolving services</p><p><br/></p><p>Today, with a staff of more than 18'000, SII Group is supporting companies across 20 countries.</p><p><br/></p><p>At SII Switzerland we pay attention to the personal and professional wellbeing of our employees. We place our collaborators at the heart of our actions and activities. If you are motivated by the perspective of joining a big, trusted and recognized group, then let's meet !</p><p><br/></p><p>To develop our consulting offer and support one of our clients, we are looking for a talented <strong>Data Engineer.</strong></p><p><br/></p><p><strong>Missions</strong></p><ul><li>Develop &amp; Scale Pipelines: You design and implement robust ETL/ELT pipelines to process large, complex volumes of data (Big Data) using both code-based and visual tools.</li><li>Semantic Data Modeling: You translate complex business processes into logical data models and help build a centralized, cross-departmental enterprise data model.</li><li>Data Quality &amp; Lineage: You implement automated quality checks and monitor data flows from source to end product to guarantee seamless data lineage.</li><li>Code &amp; Transformation: You write clean, high-performance code in PySpark and SQL to clean, aggregate, and prepare data for downstream analysis.</li><li>Cross-Functional Collaboration: You work closely with Data Scientists, Business Analysts, and business departments to quickly translate their requirements into production-ready data structures.</li></ul><p><br/></p><p><strong>Profile</strong></p><ul><li>Initial practical experience in Data Engineering (as a Junior, e.g., through relevant internships/working student roles; as a Mid-Level, approx. 1–3 years of professional experience).</li><li>Solid knowledge of Python (especially in a Big Data context with PySpark) as well as proficiency in writing complex SQL queries.</li><li>Good understanding of modern data architectures (Data Lakehouse, distributed systems) and ideally experience with integrated all-in-one data platforms.</li><li>Familiar with relational and non-relational databases. You enjoy bringing order to unstructured mountains of data.</li><li>Analytical mindset, work in a structured manner, and possess a strong willingness to learn, allowing you to quickly adapt to new, complex software ecosystems.</li></ul><p><br/></p><p><strong>For information</strong></p><ul><li>Start date : September</li><li>Location : Zurich - CH</li><li>Duration : permanent contract</li><li>Language : fluent in English, German is a plus</li></ul> </div>