Top 3 reasons to join us
- Competitive salary
- Startup, young and fun environment
- Premium health care
Job description
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