Senior Data Engineer - Azure, AWS, Databricks

As a Senior Data Engineer, you will play a key role in designing and delivering modern, scalable data platforms that power strategic business decisions for major public and private organizations.

You will work on cutting-edge cloud and big data ecosystems using Azure, AWS, Databricks, Spark, and modern DevOps practices to create high-performance data solutions.

What you’ll do

• 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

What you bring

• 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

Why join ELCA?

• 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