Data Engineer (Data Platform) - Monee Credit

About The Team Job Description:

• You will work closely with Business Intelligence Analysts, project teams to turn data into information that supports sound business initiatives and to build automation products that meet business needs.
• Build and maintain data pipelines and data marts supporting Business Intelligence, Analytics, and Regulatory Reporting initiatives.
• You will own the full development lifecycle, implementation, and support of self-service data, business automation, and AI products.
• Design and maintain the architecture of a high-performing business automation and AI platform.
• Follow software engineering best practices, including test-driven development.

Requirements

• Bachelor’s degree in Computer Science or any related field with 2+ years of relevant experience working in Data Engineering, Software/AI Engineering, or related fields.
• Strong Python expertise, with emphasis on data ingestion and automation frameworks (e.g. Selenium, Playwright).
• Advanced skills in SQL, Spark, Airflow, and other data processing/engineering tools, familiarity with frontend development is a plus.
• Familiarity with LLM and Agentic tools and paradigms (e.g. agent harness), as well as its application in business.
• Proficient in Software Development Life Cycle (SDLC) including code version control, test-driven development, modularity, and technical documentation.
• Ability to translate complex technical concepts to non-technical stakeholders.
• Comfortable working with a variety of languages, frameworks, and technologies, adapting to the most suitable tool for the task at hand.
• Ability to converse in English is strongly preferred as we are deeply working with regional teams.