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