Senior Data Engineer

Momcozy; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Mentorship

Competitive compensation and benefits

Résumé du poste

Momcozy is seeking a Senior Data Engineer to own critical data domains and turn diverse regional data into trusted, reusable products. You will set standards for modeling, quality, metrics, and serving, guiding distributed teams to support analytics and data-powered applications.

Collaborate with stakeholders and engineering teams to define data contracts, build scalable pipelines, and ensure quality data delivery across regions. This role offers mentorship and exposure to global data challenges.

Qualifications

• Bachelor's degree or higher in CS, DS, or related field or equivalent experience.
• 5+ years of data engineering or analytics engineering experience.
• Strong SQL, Python, and data modeling skills with Spark or similar tech.
• Solid understanding of dimensional modeling, incremental processing, data quality, and data contracts.
• Ability to own the full data lifecycle from source to consumer data products.
• Eligible to work in Singapore; visa sponsorship is not provided.

Responsabilités

• 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.
• Collaborate with business, analytics, product, and engineering teams to define data contracts and service levels.
• Create automated tests, data quality rules, monitoring, and source reconciliation.
• Improve pipeline performance, reliability, and cost efficiency; participate in production support.
• Guide other data engineers and raise standards for modeling and operational practices.
• Support controlled data publishing across regions and troubleshoot downstream issues.

Connaissances

SQL

Python

Data modeling

Spark

Dimensional modeling

Data quality

Orchestration

Data contracts

Full lifecycle

Ownership

Formation

Bachelor's degree in Computer Science / Data Science

Outils

Databricks

dbt

MetricFlow

Description du poste

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