Senior Data Engineer

Top 3 reasons to join us

• Up to 5 months of KPI bonus
• Premium health insurance
• New office

Job description

Never settle, think bigger. Vulcan Labs is a leading mobile application development company based in Ho Chi Minh City, Vietnam, with flexibility for some remote work. Since 2017, we have published over 30 game and mobile applications with several hundred thousand Daily Active Users and over 10 million downloads combined. Our products on iOS App Store and Android include Camera Translator: Translate+, Face Story - AI Photo Editor, and TV Cast & Screen Mirroring. We welcome individuals from diverse backgrounds to join our team and embrace challenges in a fast-changing industry.

As part of our next growth phase, we are building a data ecosystem to power millions of users, optimize AI-driven products, and support decision-making across squads (Product, AI, Backend, Marketing). We are looking for a Senior Data Engineer who thrives in high-scale environments and wants to help shape the data backbone for our applications and AI platforms.

As Senior Data Engineer  in our team, you will:

• Design, build, and maintain scalable data pipelines and ETL processes to support our app ecosystem (analytics, personalization, AI model feedback loops).
• Develop and operate pipelines on Google Cloud Platform (BigQuery, Pub/Sub, Dataflow, Cloud Functions, Composer/Airflow).
• Build internal APIs/services to make data accessible across squads (Backend, AI, Marketing).
• Ensure data reliability, quality, and governance for multiple app platforms with structured, semi-structured, and unstructured sources.
• Implement CI/CD and DevOps practices to automate deployment and monitoring of pipelines from dev to production.
• Work closely with stakeholders (Product Managers, Data Analysts, AI Engineers, Marketing leads) to gather requirements, prioritize initiatives, and turn business questions into scalable data solutions.
• Collaborate with Data Analysts and AI Engineers to integrate statistical models, product metrics, and A/B testing frameworks into production workflows.

Your skills and experience

Technical Skills 

• 5+ years of experience in modern data engineering with focus on lightweight, scalable systems.
• Strong in SQL (analytics engineering style) and Python (data APIs, pipeline development).
  Hands-on with cloud-native platforms (preferably GCP: BigQuery, Pub/Sub, Cloud Run, Cloud Functions).
• Experience with real-time & event-driven pipelines for mobile/AI applications.
• Familiarity with modern analytical databases such as ClickHouse, Snowflake, or new-gen OLAP solutions (DuckDB, MotherDuck, Apache Pinot, Druid).
• Skilled in Data Build Tool or similar frameworks for lightweight data transformations.
• Comfortable with modern orchestration (Dagster, Prefect, or GCP Composer when needed).
• Understanding of vector databases and embedding stores (pgvector, Pinecone, Weaviate, FAISS) to support AI/LLM features.
• Knowledge of data observability and quality tools (Great Expectations, elementary, or similar).
• Experience deploying pipelines on serverless or containerized platforms (Cloud Run, Docker, Kubernetes).

Non-Technical Skills 

• Strong communicator, able to work directly with Product, AI, Backend, and Marketing stakeholders.
• Pragmatic mindset — knows when to build lightweight solutions vs. heavy infra.
• Proactive problem solver, curious about emerging AI/data tools (vector DBs, real-time warehouses, AI observability).
• Thrives in a fast-paced, product-focused environment with millions of global users.

Why you'll love working here

• Grow Yourself: Work with young, talented teammates on global apps across a diverse portfolio and varying app sizes (Mainly in AI domain)
• Attractive Package: 13th-month salary, performance bonus, and biannual performance reviews based on achievements and contributions.
• Healthy Culture: 12 days of annual leave and 5 days of sick leave, health-care insurance, annual health check, and a dedicated team-bonding budget.
• Well-equipped Facility: MacBook provided, with an additional monitor available if needed.
• Diverse Activities: Complimentary coffee, tea, and snacks; company trips; team-building activities; and quarterly happy-hour events.
• Innovative Environment: Flexible working hours, one remote day per month, seminars and internal sharing sessions, and a culture with no barriers to ideas.