Senior Data & Analytics Engineer (Europe, 100% remote)

<p style=";">Join our fully remote, mission-driven team dedicated to pioneering <strong>sustainable inflight service management</strong>. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.</p><p style=";"></p><p style=";">Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion. </p><h4><strong>About the role</strong></h4><p style=";">We are hiring a <strong>Senior Data &amp; Analytics Engineer</strong> to take <strong>end-to-end ownership of our data platform and BI layer</strong>.</p><p style=";;"></p><p style=";">We are on a mission to contribute to a <strong>zero-waste future</strong> by drastically reducing food waste, fuel consumption, costs, and most importantly, <strong>CO₂ emissions</strong> in the airline industry. Every role in our company is a direct contributor to this vision - and as a <strong>Senior Data &amp; Analytics Engineer</strong> you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.</p><p style=";"></p><p style=";">You will evolve a vendor-built BI solution into a <strong>modern, product-grade data platform</strong> and ensure that data is transformed into <strong>scalable, trusted, and actionable insights</strong> for both our customers and internal teams. You’re not just building dashboards, you’re enabling better decisions and measurable impact.</p><p style=";"></p><p style=";">This role combines:</p><ul><li><p><strong>Data Engineering</strong> (pipelines, processing, customer facing exports, platform)</p></li><li><p><strong>Analytics Engineering</strong> (modeling, KPIs, semantic layer)</p></li><li><p><strong>Data Product Ownership</strong> (customer impact, insight generation)</p></li></ul><h4><strong>What You’ll Own</strong></h4><p><strong>Platform, Architecture &amp; Pipelines</strong></p><p style=";">Own the end-to-end data platform (<strong>Databricks </strong>and <strong>Microsoft Fabric</strong>)</p><ul><li><p>Design and operate scalable pipelines and lakehouse architecture</p></li><li><p>Build scalable ETL/ELT workflows and manage batch/near real-time processing</p></li><li><p>Ensure data quality, reliability, observability, and performance</p></li><li><p>Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)</p></li><li><p>Optimize cost (e.g. Databricks jobs) and workload distribution across platforms</p></li></ul><p><strong>Data Modeling &amp; Semantic Layer</strong></p><ul><li><p>Own <strong>Power BI </strong>semantic models and KPIs</p></li><li><p>Build clean, scalable dimensional models (star schema)</p></li><li><p>Ensure performance and consistency of DAX, aggregations, and dataset refresh</p></li></ul><p><str