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