Coderio designs and delivers scalable digital solutions for general companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
More information:
This is a high-impact technical role. We are looking for a motivated and adaptive DataOps Engineer, Technical Referent to join our fast-paced environment. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, where a high tolerance for ambiguity and a passion for constant learning are essential. Your primary mission involves interacting with customers to understand their needs, extract requirements, and both design and propose scalable solutions. You will be responsible for tackling the challenge of working within a team to develop solutions, as well as executing hands‑on technical work to ensure robust data operations.
What To Expect In This Role (Responsibilities)
- Automation & Integration:



Develop Python components, Terraform modules, and pipelines to integrate and automate various tools and processes.
- API & System Orchestration: Promote the use of APIs from distinct systems to extract and update data, trigger and monitor processes, and help tie infrastructures together.
- Cloud Reliability & Operations: Deploy, maintain, and oversee cloud infrastructure to ensure it runs with the performance and reliability our customers expect.
- Data Modeling & Documentation: Help create Data Models, technical documents, and best practices for our users.
- DataOps Best Practices & Innovation: Develop policies, processes, and best practices regarding DevOps and DataOps. You will also help identify opportunities, generate innovative solutions, and improve existing product features.

Requirements
- Development & Scripting: Strong proficiency in Python and bash, and fluency in SQL as a second language.

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