Data Engineer ( Labrador Park)

Seacare Manpower Services Pte Ltd; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A dynamic manpower services firm in Singapore seeks a Data Management Specialist for a contract role. The successful candidate will design and optimize ETL/ELT pipelines, ensure data quality, and collaborate with Finance and data science teams. Essential skills include proficiency in SQL and Python, along with experience in data modeling. This role requires excellent analytical and problem-solving skills and offers a contract duration of 11 months and 30 days with a work commitment of 42 hours per week.

Qualifications

• 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.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines to consolidate data.
• Build and optimize data models for Finance reporting.
• Ensure data quality and compliance with policies.
• Automate workflows and support CI/CD practices.
• Collaborate with Finance analysts and data science teams.
• Produce clear technical documentation.

Skills

SQL

Python

Data modeling

Data quality

CI/CD principles

Analytical skills

Problem-solving

Documentation

Tools

Tableau

Power BI

Azure

AWS

GCP

Job description

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 automationKnowledge of AI/ML enablement and data governance frameworks

Duration / Working hours

11 months & 30 days contract (Immediate)

42 hours per week

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