Senior Data Engineer

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

We are looking for a Senior Data Engineer to turn data from multiple regions and business systems into trusted, reusable data products. This role exists to independently own critical data domains, establish durable standards for modeling, quality, metrics, and serving, and work with distributed teams to support analytics and data-powered applications. You will be the go-to owner for key data domains that serve the global business.

Who You'll Work With

• Reports to: Regional Tech Lead or Head of Big Data & Algorithm (China HQ)
• Collaborates with: Business stakeholders, analytics teams, product managers, engineering teams, and data platform team

Responsibilities

• Design, build, and maintain batch and streaming data pipelines and models for analytics and applications
• Develop standardized detail layers, shared dimensions, domain models, aggregates, and reusable data products
• Partner with business, analytics, product, and engineering teams to clarify requirements and define data contracts, business logic, and service levels
• Build automated tests, data quality rules, monitoring, and source reconciliation
• Improve pipeline performance, reliability, and cost efficiency, and participate in production support
• Guide other data engineers and raise standards for modeling, code quality, and operational practices
• Support controlled data publishing across regions and troubleshoot downstream data issues

Requirements

Must-Have

• Bachelor's degree or above in Computer Science, Data Science, or a related field, or equivalent industry experience
• 5+ years of experience in data engineering, analytics engineering, or data warehousing, or equivalent practical expertise
• Strong proficiency in SQL, Python, and data modeling, with production experience using Spark or comparable technologies
• Good understanding of dimensional modeling, incremental processing, data quality, orchestration, and data contracts
• Ability to own the full lifecycle from source data to a reliable data product
• Legally authorized to work in Singapore; this role does not provide visa sponsorship

Nice-to-Have

• Experience with Databricks, dbt, MetricFlow, or another semantic-layer technology
• Experience with commerce, advertising, order, user, or consumer data
• Experience with cross-region data publishing, de-identified data, or controlled datasets

Language

• Professional working proficiency in English (CEFR B2 or above)
• Mandarin Chinese is highly advantageous for collaboration with China HQ, but not required

What We Offer

• Opportunity to own and shape critical data domains for a global business
• Mentorship scope and technical leadership within the data team
• Exposure to cross-region data engineering and compliance challenges
• Competitive compensation and benefits package