Data Engineer (Labrador Park)

SEACARE MANPOWER SERVICES PTE LTD; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A prominent recruitment agency in Singapore is seeking a data professional to support their Finance team. Responsibilities include managing data for reporting and analytics, designing ETL/ELT pipelines, and ensuring data quality. Candidates should have strong skills in SQL and Python, with experience in data modeling and governance. This is a full-time role in a fast-paced environment.

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

Responsibilities

• Support the Finance team by managing and optimizing data.
• Design, develop, and maintain ETL/ELT pipelines.
• Build and optimize data models for Finance reporting.
• Ensure data quality and compliance with internal policies.
• Automate workflows and support CI/CD practices.
• Collaborate with Finance and data science teams.
• Produce clear technical documentation.

Skills

SQL

Python

Data modeling

Data quality

CI/CD principles

Analytical skills

Communication skills

Documentation skills

Tools

Tableau

Power BI

Azure

AWS

GCP

Job description

Contract duration

11 months & 30 days contract (Immediate)

Working hours

42 hours per week

Job Scope

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

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

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

By submitting your resume and/or personal data, you hereby consent to Seacare Manpower Services Pte Ltd collecting, using, and disclosing such information to our clients and business partners strictly for the purposes of assessing your suitability for employment opportunities and for the provision of related recruitment and placement services.

EA Personnel Name: Nurul Shadrina

EA Personnel No: R1221759

EA License No: 95C4455