Python Engineer

We are looking for a highly skilled Application Engineer with strong expertise in Python, PySpark, SQL, and relational data modeling. The role focuses on extending and optimizing a consistency check engine for large-scale financial datasets, with strong emphasis on performance optimization in Spark. The environment is Azure-based, particularly Databricks, and requires hands-on engineering discipline.

Key Responsibilities

• Develop, extend, and optimize solutions on Azure Databricks using Python, SQL, and PySpark.
• Build and maintain software against delta lakes and relational databases.
• Perform full-cycle engineering: analysis, design, implementation, testing (with emphasis on automated testing).
• Optimize Spark performance for large datasets (tens of billions of rows, 200+ columns).
• Collaborate within an agile team across multiple countries.
• Ensure reliability and scalability of sub-ledger and related data systems.

Must-Have Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or similar.
• Proven software engineering background (complex systems, not just scripting).
• Strong Python development experience (software engineering level).
• Hands-on PySpark experience.
• Strong SQL and relational data modeling expertise.
• Solid understanding of software engineering best practices (testing, version control, agile).
• Excellent problem-solving and analytical skills.
• Highly proficient in English (written and verbal).