Senior Data Engineer - Azure, AWS, Databricks

Design, architect, and build enterprise-grade cloud data platforms from the ground up Develop scalable data pipelines and distributed systems for large-scale data integration Collaborate with business stakeholders, software engineers, analysts, and data scientists Contribute throughout the full project lifecycle: strategy, architecture, implementation, deployment, and optimization Mentor junior engineers and promote technical excellence within the team Support innovation initiatives, proof-of-concepts, and technical pre-sales activities Help shape ELCA’s Data & AI thought leadership through innovation and best practices

Work on high-impact projects for leading Swiss organizations Access cutting-edge technologies in cloud, big data, and AI Thrive in an international, multicultural environment Continuous learning, certification, and professional development opportunities Strong career growth potential in technical leadership Collaborative culture with real innovation impact

• 4+ years of experience in data engineering, cloud data platforms, or distributed systems

• Strong expertise in SQL, data architecture, ETL/ELT, and large-scale data processing

• Hands-on experience with Azure, AWS, or GCP

• Experience with Databricks and/or Snowflake

• Strong understanding of DevOps, CI/CD, Infrastructure as Code, and automation

• Knowledge of Terraform, real-time or micro-batch architectures

• Familiarity with data mesh, data products, or AI/ML environments is a plus

• Strong communication skills in French and English