Data Engineer (Open for freelancer)

Hanoi, HCM, Remote upto 1500


 Data Analysis and Modelling: 

  • Conduct exploratory data analysis to understand complex datasets and identify patterns, trends, and insights. 

  • Develop statistical and machine learning models to solve business problems and optimize processes. 

  • Apply data cleaning, pre-processing, and feature engineering techniques to improve data quality and model performance. 

  • Utilize data visualization tools to effectively communicate findings and insights to non-technical stakeholders. 

Algorithm Development and Implementation: 

  • Design and implement advanced algorithms and predictive models to extract meaningful information from large-scale datasets. 

  • Collaborate with software developers to integrate machine learning models into production systems and applications. 

  • Optimize and fine-tune models to ensure scalability, performance, and accuracy. 

Data Pipeline and Infrastructure: 

  • Work closely with data engineers to design and maintain data pipelines, ensuring efficient and reliable data collection, storage, and retrieval. 

  • Identify and resolve data quality issues, ensuring the integrity and consistency of the data used for analysis. 

  • Collaborate with the team to deploy and scale data science solutions within the organization's infrastructure or cloud platforms. 

  • Implement data governance and security measures to protect sensitive and confidential data. 

Collaborative Problem Solving: 

  • Collaborate with cross-functional teams, including business stakeholders, to identify business problems and define data-driven solutions. 

  • Translate business requirements into technical specifications and develop actionable insights and recommendations. 

  • Communicate complex technical concepts to non-technical stakeholders effectively. 

  • Participate in team discussions, knowledge sharing, and contribute to the overall growth and development of the data science team. 


  • 3+ years' of data engineering experience, preferably with one or more of these technologies SQL, ANSI SQL, LookML, Data Modeling Language (DML) or BigQuery
  • Understanding of how to structure and consume data into Looker to provide optimal performance.
  • Experience developing data solutions in the cloud using GCP, AWS, or Azure
  • Technical expertise regarding data models, data mining and segmentation techniques
  • Deep knowledge of inside out of Firebase and GA4 + Big Query...


  • Attractive & competitive salary commensurate with experience; 
  • Total income: 13 months salary/year + performance bonus, Tet and holidays bonus…; 
  • Salary review twice per year depending on performance and work efficiency; 
  • Total 15 days off: 12 days of annual leave per year, 1 day off with full salary in birthday month, and 2 days off for company trip; 
  • Welfare package on holidays (30/4-1/5, 2/9, New year); 
  • Saturday and Sunday leaves according to current laws; 
  • Be participated in Social Insurance, Health Insurance, and Unemployment Insurance in accordance with current laws and company regulations; 
  • Personal health care insurance 24/24 (PVI Care) for yourself and 3 relatives in maximum; 
  • Periodic health check once per year; 
  • Related IT certificates allowance (through the form of bonus, salary increase...); 
  • Remote working accepted when necessary (approved by line manager); 
  • Join the Company's Clubs: Football Club, Game Club…; 
  • Participate in exciting collective activities of the company: Annual Company Trip, Quarterly Teambuilding, Year-end Party, Company’s Birthday Gala Dinner, …; 
  • Especially 

  • Opportunities to work in a global environment and culture; 
  • Opportunities to travel overseas; 
  • Be supported 100% of the cost when participating in soft skills courses and professional training courses, as well as exam preparation for prestigious domestic and foreign certificates; 
  • Working in a professional environment, be supported to develop the ability to the maximum. 

Application form


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