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Open nowFirst seen 3 days ago

Data Engineer ( Labrador Park)

Seacare Manpower Services Pte Ltd1,103 open roles

Where
Singapore
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Your applicationOpen nowData Engineer ( Labrador Park)Seacare Manpower Services Pte Ltd · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Seacare Manpower Services Pte Ltd's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

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

Duration/ Working hours:

11 months & 30 days contract (Immediate)

42 hours per week

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

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