Intern, Data Engineering and Automation (PNPL)

The Data Engineering and Automation Intern will play a key role in supporting Phillip Nova’s data infrastructure by building, optimizing, and documenting our ETL pipelines and automation solutions. This hands-on position requires proficiency in SQL and Python to design and implement data automation projects, including API integrations and data manipulation scripts, to deliver business-critical solutions in the financial services domain.

Key Responsibilities:

• Propose automation, AI or data engineering solutions based on business needs.
• Build, maintain, and introduce best practices to ETL/ELT pipelines and data transformation jobs in our data warehouse.
• Implement and maintain CI/CD pipelines alongside our testing environment for data solution deployment, ensuring seamless integration.
• Assist in designing and planning LLM and data warehouse implementations.
• Ensure high data quality and data integrity by designing and implementing automated tests and validation rules across all implemented pipelines.
• Help the data team build a catalogue and document the data warehouse.

Requirements:

• Undergraduate majoring in Data Science / Statistics / Computer Science / Quantitative Finance / Business Analytics / Economics / Mathematics / other relevant majors.
• Proficient in Data modelling, Data Architecture.
• Proficient in SQL, Python programming and API integration.
• Foundational understanding of Generative AI and LLMs.
• (Optional) Familiarity with CI/CD practices and automated deployment on Git.
• (Optional) Familiar with Microsoft SQL Server tools (SSMS, SSIS).

If you are looking for an environment of growth and opportunities, please send a cover letter with your resume, stating the position applied, present and expected salaries to [email protected]

We regret that only shortlisted candidates will be notified.

Brought to you by Phillip Nova Pte Ltd (A member of PhillipCapital)