Data Engineer – Distributed Cloud

About the role

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.

Key responsibilities

• 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 engineering standards for the data team.
• Take ownership of the data ecosystem, ensuring data integrity, security, and smooth production workflows.

Required profile

• 3+ years of professional experience in Data Engineering or similar high‑scale roles.
• Strong command of English, both written and spoken.
• Comfortable working in Agile environments and managing multiple concurrent priorities.
• Proven ability to collaborate with cross‑functional teams and deliver reliable solutions.

Required skills

• Expert‑level Python, including data‑manipulation libraries such as Pandas and PySpark.
• Advanced SQL skills and experience designing complex ETL/ELT transformations.
• Proficiency with distributed computing frameworks (e.g., Spark).
• Hands‑on experience with modern cloud data warehouses: Snowflake, BigQuery, or Redshift.
• Familiarity with cloud environments and Databricks.
• Solid understanding of the software development lifecycle, including Git, unit testing, and CI/CD.