Senior Data Engineer - Azure, AWS, Databricks

ELCA Switzerland and Europe; Pully; On-site; CHF 120,000 - 160,000; Full time

Job summary

ELCA is seeking a Senior Data Engineer to design and deliver scalable cloud data platforms powering strategic decisions for Swiss organizations. You will architect end-to-end data solutions using Azure, AWS, Databricks, and Snowflake, while promoting DevOps, IaC, and automation.

You will collaborate with data scientists, analysts, and engineers across projects, mentor peers, and contribute to ELCA’s Data & AI thought leadership through innovative data products and best practices.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data engineering

Cloud data platforms

Big data processing

Communication (French/English)

Tools

Azure

AWS

GCP

Databricks

Snowflake

Terraform

CI/CD

Job description

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