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"> We're working with a leading online job platform in Switzerland, connecting talent with opportunities across various industries.<br/><br/>The Role<br/><br/><ul><li> Own and evolve the data warehouse stack, ensuring reliability, performance, and scalability</li><li> Design and maintain sustainable business data models for reporting and analytics</li><li> Develop and optimize complex SQL transformations and ETL pipelines</li><li> Manage master data processes for accurate consolidation and consistency</li><li> Translate business requirements into well-structured, documented data models</li><li> Collaborate with BI and analytics consumers to ensure data accessibility and understanding<br/><br/></li></ul>What You'll Need<br/><br/><ul><li> 3+ years of experience in data warehouse development and data modeling</li><li> Advanced SQL skills with a focus on query performance and maintainable transformation logic</li><li> Solid experience designing dimensional or relational business data models for analytical use cases</li><li> Working knowledge of AWS services relevant to the warehouse layer (S3, Redshift, Lambda)</li><li> Familiarity with BI tools, preferably Tableau, with an understanding of model design impact on end-user experience</li><li> Experience with master data management and cross-system data consolidation<br/><br/></li></ul>What's On Offer<br/><br/><ul><li> A senior role with significant ownership in a lean team</li><li> Flat hierarchy and the freedom to bring your own ideas</li><li> Hybrid work model with remote flexibility</li><li> International company with a commitment to diversity and inclusion<br/><br/></li></ul>Apply via Haystack today!<br/><br/> </div>

Job Overview
  • Datum der Veröffentlichung

    Aug 01, 2026

  • Kategorie

    IT & Software

  • Job Type

  • Standort

    Zürich, Switzerland

  • Arbeitgeber

    Haystack

  • Source

    LinkedIn