Data Engineer

Support the Finance team by managing and optimizing data for reporting, analytics, and AI/ML initiatives.

Job Description / Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines to consolidate data from enterprise systems, including Workday RAAS

• Build and optimize data models to support Finance reporting and analytics workloads

• Ensure data quality, observability, and compliance with PDPA and internal security policies

• Automate workflows and support CI/CD and infrastructure-as-code practices for consistency

• Collaborate with Finance analysts and data science teams to provision curated datasets for dashboards, reporting, and AI/ML use cases

• Produce clear technical documentation and align solutions with business needs

Requirements / Skills:

Essential:

• Proficient in SQL and Python for data processing and automation

• Experience in ETL/ELT pipeline development and data modeling

• Knowledge of data quality, governance, and enterprise system integration (Workday RAAS preferred)

• Familiarity with CI/CD principles, version control, and workflow automation

• Strong analytical, problem-solving, communication, and documentation skills

Desirable:

• Experience with BI tools (Tableau, Power BI) and cloud platforms (Azure, AWS, GCP)

• Exposure to data orchestration frameworks and infrastructure automation

• Knowledge of AI/ML enablement and data governance frameworks

11 months & 30 days contract (Immediate)

42 hours per week

** We regret to inform only shortlisted candidates will be notified.