Distributed Cloud | Data Engineer

We are looking for an experienced Data Engineer to join our teams and lead the design and optimization of scalable data architectures. You will be responsible for building the backbone of our data-driven solutions, ensuring high performance, reliability, and security. In this role, you will: Design and build robust, high-performance data pipelines capable of handling large-scale, complex datasets. Implement and fine-tune data processing frameworks to ensure system stability and cost-efficiency. Lead the automation of end-to-end release processes (CI/CD) and promote best practices for code quality and maintainability. Partner with Data Scientists, Architects, and Business stakeholders to translate complex requirements into technical reality. Participate in code reviews and help define the engineering standards for the entire data team. Take ownership of the data ecosystem, ensuring data integrity, security, and smooth production workflows. 3+ years of professional experience in Data Engineering or similar high-scale roles. Expert-level Python (mandatory), with deep experience in data manipulation libraries (e.g., Pandas, PySpark). Strong command of SQL and advanced experience in designing complex ETL/ELT transformations. Solid understanding of the full software development lifecycle, including Git, unit testing, and CI/CD. Practical experience with distributed computing (e.g., Spark), modern Cloud Data Warehouses (Snowflake, BigQuery, or Redshift), Cloud environments and Databricks. Comfortable working in Agile environments and managing multiple concurrent priorities. Good level of English (written and spoken). The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.