Tuyển dụng Senior Data Engineer Mobile App/ Data Platform tại Hồ Chí Minh

Top 3 Reasons To Join Us Competitive salary Startup, young and fun environment Premium health care The Job

ABOUT THE ROLE:

As a Senior Data Engineer, you will be a key driver in designing, scaling, and operating the data backbone across our entire Mobile Apps & Games ecosystem. You will be responsible for transforming tens of millions of raw event logs (in-app events, MMP tracking, ad network revenues) into robust Data Warehouse models, high-performance feature pipelines for ML/AI models (LTV forecasting, anomaly detection), and internal self-service analytics platforms for Product & Growth Squads.

 

JOB DESCRIPTION:

• Build and operate end-to-end ELT/ETL data pipelines (batch & near-realtime) to ingest data from MMPs (Adjust, Qonversion), Ad Networks (Google Ads, AdMob, AppLovin, Mintegral, Apple Search Ads,...), and in-app event tracking into the Data Warehouse.
• Design schema architectures (Star/Snowflake), optimize complex analytical queries, partitioning, clustering, and storage costs on Google BigQuery and modern columnar databases.
• Build, scale, and maintain workflow orchestrations using Apache Airflow, Celery, Redis, and Docker on Cloud environments (GCP/Compute Engine).
• Develop custom Model Context Protocol (MCP) servers, agent tools, and data APIs to connect LLMs and AI IDEs directly with data warehouses, documentation vaults, and internal systems.
• Construct reliable feature stores and datasets for Machine Learning/AI initiatives (LTV forecasting, payback modeling, anomaly detection) and assist in model serving pipelines.
• Implement data observability, automated monitoring, and data quality checks; develop internal data tools and self-service dashboards using Streamlit and Metabase/Looker Studio.
• Establish engineering best practices, data modeling standards, and comprehensive documentation (Data Dictionaries, Architecture Blueprints).

Your Skills and Experience

REQUIREMENTS: 

• 3+ years of hands-on data engineering experience building and maintaining production data pipelines.
• Strong proficiency in Python for high-performance data processing and advanced SQL (performance tuning, window functions, complex transformations).
• Solid experience with Google BigQuery (or modern columnar stores like ClickHouse, Snowflake, Redshift), including query optimization and cost management.
• Practical experience with Apache Airflow, Celery/Redis, Docker/containerization, CI/CD workflows, and Cloud platforms (GCP preferred).
• AI-First & Vibe Coding Mindset: Daily hands-on experience using AI coding assistants and AI IDEs (Cursor, Claude Code, Antigravity, etc.) to rapidly prototype, build, and ship production-grade code at high velocity.
• Hands-on experience or strong interest in building/integrating MCP (Model Context Protocol) servers, custom tools, and AI workflows for data engineering tasks.
• Strong ownership, problem-solving abilities, clear communication, and effective collaboration with Product Owners, Data Analysts, and Leadership.

 

Nice to have:

• Domain knowledge in Mobile Apps, Games, or Digital Advertising / AdTech (MMP attribution, Ad Network APIs, eCPM, ROAS, LTV).
• Experience building internal web tools or BI applications using Streamlit.
• Familiarity with ML lifecycles, BigQuery ML, or LLM serving infrastructure and token monitoring.
• Experience with workflow automation APIs (Google Apps Script, Slack webhooks, third-party integrations).

Why You'll Love Working Here

Why You'll Love Working Here:

 

• Salary:
  • 100% salary during probation
  • 13th-month salary
  •  Performance bonus
  •  Salary review at least one time per year based on employee's performance and contribution
• Health & Insurance:
  • Social Health Unemployment Insurance
  • Premium health insurance
  • Annual health check-ups
• Annual leave: 12-14 days
• Working environment: 
  • MacBook Pro is provided.
  • Friendly and fun/ Coffee, tea, snack bar everyday/ Company trip, team building, monthly party, etc.
  • Outing/team-building activities (company trip , soccer sport, running club,..);
  • Work with experienced & strong team;
  •  Friendly, dynamic & flexible working environments