Data Automation Engineer

Designing, implementing, and maintaining automated workflows for data processing and system orchestration. The role includes defining workflow concepts, integrating with internal and external systems, and ensuring stable, efficient workflow execution.

Key Responsibilities:

Design workflow concepts, including process mapping and technical solution recommendations.

Implement end‑to‑end workflows in a workflow‑orchestration platform.

Migrate existing automation pipelines from legacy systems to the new workflow environment.

Operate, monitor, and maintain workflow scheduling to ensure reliability and performance.

Integrate workflows with APIs, data sources, and other platform components.

Provide technical documentation aligned with internal standards.

Participate in agile ceremonies, stand‑ups, and regular coordination meetings.

Support continuous improvement through structured governance and reporting.

Required Competence:

Minimum 3 years of experience working with workflow‑orchestration or ETL/ELT tools.

Strong Python development skills.

Experience integrating with SQL databases, APIs, and cloud‑based services.

Familiarity with agile development and CI/CD practices.

Ability to produce clear technical documentation in English.

Strong analytical skills and ability to understand complex process flows.