Senior Data Engineer: Own Global Data Domains & Pipelines

Momcozy; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Mentorship and technical leadership

Exposure to cross-region data projects

Benefits package

Job summary

Momcozy is seeking a Senior Data Engineer to turn data from multiple regions into trusted data products. You will own critical data domains, set durable modeling standards, and support analytics and data-powered apps globally.

You will lead pipelines, data contracts, quality rules, and production readiness while guiding peers and collaborating with stakeholders across regions and teams.

Qualifications

• Bachelor's degree or higher in Computer Science, Data Science, or related field.
• 5+ years in data engineering, analytics engineering, or data warehousing.
• Strong SQL, Python and data modeling with Spark experience.
• Good understanding of dimensional modeling, data quality, orchestration and data contracts.
• Authorized to work in Singapore; visa sponsorship is not provided.

Responsibilities

• Design, build, and maintain batch and streaming data pipelines for analytics.
• Develop standardized detail layers, shared dimensions, and reusable data products.
• Clarify requirements with business, analytics, product and engineering teams.
• Build automated tests, data quality rules, monitoring, and source reconciliation.
• Improve pipeline performance, reliability, cost efficiency, and provide production support.
• Guide other data engineers and raise standards for modeling and code quality.
• Support controlled data publishing across regions and troubleshoot data issues downstream.

Skills

SQL

Python

Data modeling

Spark

Data warehousing

Education

Bachelor's degree in Computer Science or Data Science

Tools

Databricks

dbt

MetricFlow

Job description

Momcozy is seeking a Senior Data Engineer to turn data from multiple regions into trusted data products. You will own critical data domains, set durable modeling standards, and support analytics and data-powered apps globally.

You will lead pipelines, data contracts, quality rules, and production readiness while guiding peers and collaborating with stakeholders across regions and teams.