DataOps Engineer / Data Platform Engineer

Job Description

The platform is in the middle of a cleanup and evolution process. That's why we're looking for someone who doesn't just execute what's asked, but brings architectural judgment: defining the "why" and the "how", proposing best practices, and daring to challenge the status quo.

This is a role for someone who enjoys designing solutions from scratch, but also gets into the day-to-day operational trenches (permissions, roles, pipeline stabilization, CI/CD) because they know that operational excellence is the necessary step toward transformation.

Responsibilities

• Design and develop critical components of the new data and AI architecture, challenging current flows and implementing reusable frameworks and best practices.
• Define the underlying design and ensure observability, performance, and scalability of the infrastructure, with an owner mindset over everything that gets deployed.
• Take part in daily operations: access and role management, debugging, and pipeline stabilization. The goal is not just to close the ticket, but to automate so it doesn't happen again.
• Take part in the design and implementation of data governance, data sharing, quality-by-design, and strict access governance (IAM / Lake Formation).
• Align solutions with the Data Engineering, MLOps, Security, and Analytics teams.
• Act as a technical mentor and share knowledge with the internal data community.

Experience

• 5+ years building data solutions in complex production environments, with the ability to design architectures, justify decisions, and lead projects end to end.
• Hands-on mastery of the AWS data ecosystem: S3, Glue, Lambda, and Step Functions, with a strong foundation in access governance (IAM, Lake Formation).
• Infrastructure as code with Terraform or CloudFormation, and solid experience with CI/CD pipelines (for example GitLab).
• Excellent Python skills applied to data pipelines and automation.
• Proven experience with Snowflake: ingestion, modeling, and performance optimization.
• Agile methodologies.
• Flexibility to move between strategic design and day-to-day technical intervention, without a rigid separation between the two.
• Product thinking: treating everything you build as a scalable, secure, and reusable product for the rest of the company.

Benefits

• Swiss Medical SMG20 health plan for the whole family
• Personalized career plan, with 360° follow-up
• Live conversational English classes
• Birthday day off
• Extra week of vacation
• Salary adjustments