For our client, a leading financial institution in Zurich, we are looking for an experienced Senior Data Engineer to join a team responsible for developing and enhancing a modern Data Platform for Analytics and AI. Senior Data Engineer – Azure Databricks Location: Zurich, Switzerland Start Date: ASAP (flexible for the right candidate) Contract Duration: 12 months, with possible extension Work Model: Initially 100% onsite in Zurich during onboarding, followed by a hybrid setup (60% onsite / 40% remote within Switzerland) Requirements: 5+ years of professional experience in Data Engineering, including building enterprise-scale data platforms and ETL/ELT solutions. Strong hands-on experience with Apache Spark, PySpark, and/or Spark Streaming (must be clearly demonstrated in your CV). Proven experience working with Azure Databricks and large-scale data processing. Excellent programming skills in Python and SQL , including SQL performance optimization and troubleshooting. Experience with Spark SQL, Structured Streaming, and Delta Lake . Good understanding of data modelling, data warehousing, and modern data platform architectures . Experience with cloud-based data solutions, preferably Microsoft Azure . Familiarity with CI/CD pipelines , automated testing, and deployment practices. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. Excellent communication skills and experience working in Agile environments. Nice to have: Experience in financial services , particularly Structured Products, Trading, or Capital Markets . Experience with Terraform and Infrastructure as Code (IaC). Knowledge of streaming technologies such as Kafka, Azure Event Hubs, Event Grid, or Apache Flink . Experience with dbt or Data Vault . Experience providing technical guidance and contributing to architectural decisions Compensation benefits: A challenging 12-month contract with the possibility of extension . The opportunity to work on a modern Azure Databricks Data Platform within a leading financial institution. Exposure to innovative Data Analytics and AI initiatives. A collaborative environment with experienced engineering, cloud, and architecture professionals. A hybrid working model following the initial onboarding period. A straightforward recruitment process consisting of two interview rounds . j4id10405381tt j4it1042tt j4iy26tt
Senior Data Engineer – Azure Databricks & PySpark (80–100%) Arbeitgeber: Swisslinx AG
Als Arbeitgeber bietet unser Kunde, eine führende Bank, ein dynamisches und unterstützendes Arbeitsumfeld, das auf Innovation und Zusammenarbeit setzt. Die Möglichkeit, an einem strategischen Transformationsprojekt im Bereich Financial Crime Compliance mitzuwirken, eröffnet Ihnen nicht nur spannende Herausforderungen, sondern auch hervorragende Entwicklungsmöglichkeiten in einem zukunftsorientierten Sektor. Zudem profitieren Sie von flexiblen Arbeitsmodellen und einer Unternehmenskultur, die Wert auf Vielfalt und persönliche Entfaltung legt.
