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We are looking for a motivated and detail‑oriented Junior Python / PySpark Developer to join our data engineering team. The ideal candidate will assist in developing, maintaining, and optimizing data processing pipelines using Python and PySpark, working closely with senior engineers and stakeholders to support analytics and data-driven applications.
Job Responsibility:
Assist in the development, testing, and maintenance of Python applications and data pipelines
Work with Python data libraries such as Pandas and NumPy for data analysis, transformation, and validation
Support PySpark‑based data processing for large‑scale datasets under guidance from senior engineers
Write clean, efficient, and well‑documented Python code
Debug and fix issues in batch and data‑processing jobs
Participate in code reviews and follow best practices in performance and data handling
Collaborate with cross‑functional teams including data engineers, QA, and DevOps
Requirements:
2-5 years of relevant experience in the Financial Service industry
Intermediate level experience in Applications Development role
Consistently demonstrates clear and concise written and verbal communication
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor’s degree/University degree or equivalent experience
What we offer:
Hybrid working model (up to 2 days working at home per week)