Data engineer in distributed cloud

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B.

• 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).

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