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Money Forward Vietnam

E-Town Central, 11 Doan Van Bo, TP Hồ Chí Minh

Company Size : 25-99

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Job Summary

  • 25-99
  • Product
  • Việt Nam

Principal/Senior Analytics Engineer

Money Forward Vietnam

  • Quận 4, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  English
  •  Experienced (Non-Manager)
1
1

  •  Posted:25/07/2025

  • Expired
Principal/Senior Analytics Engineer
Expired
Technical Skill: Data Modeling , Data Analysis , DBT , Python , Git , MS SQL , SaaS , AWS Redshift , Tableau , AWS , BI , Composer , Terraform , Apache Airflow , Snowflake , Redash , ELT , IaC , CI/CD , Google BigQuery

Job description

Overview of job

Job Description

Join our innovative team as an Analytics Engineer and help shape the future of our integrated HR data platform. You’ll play a key role in building robust data transformation pipelines and curated data models that drive self-service analytics and AI initiatives across the organization. As a core member of our data team, you’ll collaborate with product managers, data engineers, and business stakeholders to design and implement a scalable, trusted analytics foundation—particularly in the HR domain.

This is a great opportunity for engineers who are passionate about dbt, care deeply about data quality and usability, and are excited about contributing to a mission-driven HR-tech product.

Responsibilities

  • Data Modeling & dbt Development: Design and implement high-quality, scalable, and well-documented data models using dbt, aligning with business goals and analytics use cases.
  • Pipeline Ownership: Build and maintain reliable ELT pipelines in close collaboration with data engineers, ensuring smooth, automated, and testable data flows.
  • HR Data Understanding: Deeply understand HR-related data such as employee records, payroll, attendance, etc., and convert business requirements into actionable datasets.
  • Data Quality Assurance: Implement and maintain automated data testing, monitoring, and validation to ensure consistent and trusted data delivery.
  • Cross-functional Collaboration:
    • Partner with product managers and business analysts to translate requirements into well-modeled datasets.
    • Collaborate with engineers to ensure smooth integration between data systems and product features.
  • Documentation & Enablement: Produce clear documentation to support internal engineers and business users in using the data models confidently.
  • Scalability & Maintenance: Continuously optimize model performance and transformation logic for large-scale HR datasets.

Caring Mental & Physical Recreation: 

  • Hybrid working
  • Full salary in probation & 13th month salary
  • Social insurance on full salary from probation
  • Premium Health insurance from probation
  • Flexible start 8AM-9AM from Mon-Fri
  • 16 days off annually + 1 Birthday Leave 
  • Paternity leave extra 5 days 
  • Annual company trip; Quarterly team building activities
  • Club activities
  • Annual health check

Caring Career & Development: 

  • Clear Career path
  • Foreign language & International technology-related certifications sponsoring
  • Well-equipped facility: Macbook pro,  additional monitor,..
  • Soft skill workshops
  • Tech seminars
  • Monthly and biannually Recognition Awards
  • Performance review twice/year

Job Requirement

Requirements

Technical Skills

Must Have:

  • 3+ years of experience in analytics engineering, data engineering, or BI roles.
  • Proven expertise with dbt for building and managing data transformations in production environments.
  • Advanced SQL skills with experience optimizing queries and building layered data models.
  • Solid understanding of dimensional data modeling (e.g., star/snowflake schema).
  • Experience working with cloud data warehouses (e.g., Amazon Redshift, BigQuery, or Snowflake).
  • Familiarity with data testing, CI/CD, and data version control best practices (e.g., using Git).
  • Ability to translate business requirements into robust, scalable, and reusable data models.

Nice to Have:

  • Experience working with HR domain data (e.g., organization structures, payroll, leave management).
  • Hands-on experience with Python for automation or data-related scripting tasks.
  • Familiarity with Airflow, Cloud Composer, or other orchestration tools.
  • Experience using Terraform or similar IaC tools.
  • Knowledge of BI tools like Looker, Tableau, or Redash.
  • Experience working in a multi-tenant SaaS environment.

Communication

  • Strong interpersonal and communication skills with experience working in cross-functional teams.
  • Enthusiastic about mentoring and supporting the growth of other engineers.
  • High level of ownership and accountability.
  • Business-level English proficiency (reading and writing required; conversational ability is a plus).

Languages

    • English

    • Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

Technical Skill

  • Data Modeling
  • Data Analysis
  • DBT
  • Python
  • Git
  • MS SQL
  • SaaS
  • AWS Redshift
  • Tableau
  • AWS
  • BI
  • Composer
  • Terraform
  • Apache Airflow
  • Snowflake
  • Redash
  • ELT
  • IaC
  • CI/CD
  • Google BigQuery

COMPETENCES

  • Analytic Skills
  • Interpersonal Skills
  • Communication Skills
  • Enthusiastic

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BUSINESS PROFILE

Money Forward Vietnam aims to solve money-related issues of all individuals and businesses through building an open and fair financial platform and providing essential services.

We contribute to building a better society by providing services that enable users to “see money in a positive light and broaden their range of opportunities,” thereby significantly enriching their lives.

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  •  Experienced (Non-Manager)
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Posted: 06/12/2025
Skills: Golang, MySQL, PostgreSQL, Design Patterns, Automation Testing, API, TypeScript, Docker, AWS, VueJS, ReactJS, Ecommerce, Terraform, Performance tuning, E2E Testing, IaC, CI/CD, System Architecture

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