Mid-Level Engineer Pleno

This is a mid-level data engineering role focused on building reliable and well-governed analytical data solutions. You will contribute to the development and maintenance of data models while ensuring information quality, consistency, and trustworthiness. The position involves building SQL-based transformation pipelines and working within a modern, decentralized Data Mesh architecture. You will collaborate closely with data engineering, product, and business teams to deliver scalable data solutions. The role provides hands-on exposure to technologies such as Delta Lake, Databricks, SQL, and Python. You will also contribute to Agile practices, code quality, peer reviews, and continuous improvement in a collaborative, data-driven environment.

• Professional experience working with data engineering, analytical data models, or related data-focused engineering activities.
• Knowledge of Delta Lake and Data Mesh concepts and architectures.
• Advanced knowledge of SQL, with practical experience building data transformations and working with analytical datasets.
• Basic knowledge of Python and its application in data engineering workflows.
• Intermediate knowledge of Databricks.
• Experience using code versioning systems and working with repositories and collaborative development practices.
• Practical experience working within Agile methodologies and participating in Agile team ceremonies.
• Strong analytical and problem-solving skills, with attention to data quality, reliability, and governance.
• Ability to collaborate effectively with data, engineering, product, and business stakeholders.
• dbt experience is a plus.
• Knowledge of Infrastructure as Code, particularly Terraform or Databricks Declarative Automation Bundles, is desirable.
• Experience with streaming workflows is an additional advantage.