Senior Software Engineer (Python)

At Sytac, we build high-performing engineering teams for leading organizations. We combine a pragmatic, people-first culture with technical craftsmanship, giving software engineers the autonomy to build "paved road" platforms that empower other developers and data professionals.

We are looking for a Hands-on Python Developer to drive the development of a self-service data platform. This is not a Data Engineering role ;
we are looking for a Software Engineer to build the engine and tooling that data engineers use to create data marts. Think of it as building an "Office Suite" for data user-friendly, scalable, and highly automated.

What you’ll do

• Build DataKitchen v2 : Evolve the core platform to give users maximum flexibility in designing, operating, and scaling their workflows.
• Core Engine Enhancement : Use solid OOP Python skills to implement smart data processing, comprehensive validation, and performance optimizations.
• CI/CD & Automation : Extend and improve GitHub Actions pipelines to support customer workflows and enhance the developer experience.
• Infrastructure as Code : Develop and refine Terraform modules to deploy user models and supporting assets onto Databricks.
• Power BI Integration : Create a seamless "paved road" for publishing platform-built models directly into Power BI.
• Product Quality : Take ownership of the full lifecycle from proactive refactoring and testing to maintaining reliable documentation.

What we’re looking for

• You are a developer at heart, focused on clean, maintainable code and robust system architecture.
• Expert-level OOP Python skills with a passion for testing and optimization.
• Proven experience with Azure Cloud and Databricks (specifically platform integration, not just data processing).
• Proficient in Terraform (Infrastructure as Code) and GitHub Actions .
• Ability to prioritize user-friendliness and platform stability. Note: We are not looking for Data Engineering or Ansible-heavy profiles.
• Fluent in English ;
  capable of onboarding customers and explaining complex technical choices.

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