Intern, Data Engineering and Automation (PNPL)

Data Engineering and Automation Intern

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 the 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 and Qualifications

• Education: Undergraduate majoring in Data Science, Statistics, Computer Science, Quantitative Finance, Business Analytics, Economics, Mathematics, or other relevant majors.
• Technical Skills: Proficient in Data Modelling and Data Architecture.
• Programming: Proficient in SQL, Python programming, and API integration.
• Domain Knowledge: Foundational understanding of Generative AI and LLMs.
• Optional Skills:
  • Familiarity with CI/CD practices and automated deployment on Git.
  • 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 for, present, and expected salaries to recruitment@phillip.com.sg. We regret that only shortlisted candidates will be notified.