Galaxy Holdings, a digital technology group within the Sovico ecosystem, operates across multiple industries including banking, finance, securities, insurance, aviation, real estate, healthcare, and education. It serves as the Group's core technology platform, consolidating market-leading capabilities to drive digitalization, innovation, and scalable business growth across all member companies.
We build complex, mission-critical data platforms that power enterprise analytics, AI, and real-time operational systems.
We are hiring Data Engineers across multiple seniority levels to design, build, and scale enterprise-grade data platforms.
You will work on complex, high-volume, and highly regulated environments, building modern Data Lake, Data Warehouse, and Lakehouse architectures that enable advanced analytics and AI applications.
Depending on experience, you may contribute as a hands-on Senior Engineer, lead architecture design as a Lead/Principal, or drive data platform strategy at a higher level.
Responsibilities:
Data Platform Development
- Design and develop scalable ETL/ELT pipelines (batch & real-time)
- Build and optimize enterprise Data Lake and Data Warehouse systems
- Develop data models (Star Schema, Snowflake, Data Vault where applicable)
- Ensure high data quality, consistency, and availability
Architecture & System Design (Lead/Principal level)
- Design enterprise Data Lakehouse architecture
- Define data integration patterns across banking and aviation systems
- Establish standards for data governance, lineage, metadata management
- Design scalable streaming systems (Kafka, Spark Streaming, etc.)
Performance & Optimization
- Optimize data storage, processing, and query performance
- Implement monitoring, logging, and observability for data pipelines
- Ensure compliance with security and regulatory standards (financial data, PII)
Cross-Functional Collaboration
- Work closely with:
- AI / Data Science teams
- BI and Analytics teams
- Core Banking / Financial Systems teams
- Support AI-ready data infrastructure
- Translate business requirements into scalable data solutions
Requirements:
Senior Data Engineer (46+ years)
- Strong hands-on experience building ETL/ELT pipelines
- Experience with Data Lake & Data Warehouse systems
- Proficient in SQL and Python / Scala
- Experience with Spark, Airflow, Kafka or equivalent tools
- Experience with at least one major cloud platform (AWS / GCP / Azure)
Lead Data Engineer (610+ years)
- Proven experience designing large-scale data architecture
- Experience leading technical initiatives or mentoring engineers
- Deep knowledge of distributed systems and data modeling
- Experience in complex domains (Core Banking, Payments, Aviation Ops)
Principal / Head-level Data Engineer (10+ years)
- Experience designing enterprise-wide Data Lakehouse platforms
- Strong knowledge of data governance, compliance, and security
- Experience leading large transformation programs
- Ability to align data strategy with business objectives
Technical Stack
- Languages: Python, Scala, SQL
- Big Data: Spark, Kafka, Flink
- Orchestration: Airflow
- Cloud: AWS / GCP / Azure
- Data Platforms: Snowflake, BigQuery, Redshift, Databricks
- Storage: S3 / ADLS / GCS
- DevOps & CI/CD practices
Education & Certifications (Highly Preferred)
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related fields
- MBA (Technology / Strategy) is an advantage for senior levels
- International certifications such as:
- AWS Certified Data Engineer / Data Analytics Specialty
- Google Professional Data Engineer
- Microsoft Azure Data Engineer Associate
- Databricks Certified Data Engineer
- CDMP (Certified Data Management Professional)
- TOGAF (for architecture-level candidates)
Core Competencies
- Strong analytical and system-thinking mindset
- Experience working with high-volume, mission-critical systems
- Understanding of financial and aviation data complexity
- Enterprise mindset: scalability, reliability, governance
- Strong collaboration and communication skills
BENEFITS:
- Competitive salary package
- Probation period salary is 100% of the official salary
- Comprehensive health and accident insurance
- 15 days of annual leave, 3 days working from home per month
- Provision of work equipment (Macbook/Laptop, mouse, monitor, etc.)
- A creative and modern working environment.
Work Location: Floor 9, Galaxy Innovation Hub, D1 Road, Hi-Tech Park, Thu Duc City, HCMC
