About the company:
A global leader in shipping and logistics, providing reliable transport and supply chain solutions worldwide with a strong focus on innovation and sustainability.
About the role:
We are looking for a Data Engineer to support the Finance Business Controlling team through Python-based automation and data engineering.
Responsibilities:
- Develop, maintain, and optimize Python automation for finance and controlling workflows.
- Automate complex Excel and OneStream processes using Python and VBA.
- Build and maintain data pipelines for cleaning, transformation, allocation, and reconciliation.
- Create standardized data models for recurring FP&A cycles (Actuals, Forecast, Budget).
- Improve and industrialize existing workflows to reduce manual effort and errors.
- Produce clear SOPs and documentation, and support user training and handover.
- Build and maintain Power BI / Qlik Sense dashboards for business performance monitoring.
- Provide technical support during month-end, forecast, and peak reporting periods.
Requirements:
- Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field.
- 5+ years of experience in Python development, automation, or data engineering.
- Strong hands-on experience with Python (pandas, numpy) and Excel automation.
- Solid understanding of data modeling and ETL processes.
- Experience with SQL; Snowflake experience is a strong advantage.
- Experience building dashboards using Power BI and/or Qlik Sense.
- Familiarity with Git, version control, and documentation best practices.
- Ability to understand finance workflows (FP&A / Controlling) and translate them into technical solutions.
- Strong ownership, problem-solving skills, and ability to work independently.
For more information, you may reach out to Grace Tan via email (grace.tan@peoplelake.asia) or WhatsApp (+6018-780 1215)