Data Engineer

**ABOUT PIZZA 4P‘S** Pizza 4P‘s is a renowned restaurant chain with a mission to "Make the World Smile for Peace." We‘re expanding our technological capabilities to enhance customer experiences and streamline operations across our growing network of restaurants through data-driven decision making. **POSITION OVERVIEW** **WHAT YOU WILL DO** - Design, build, operate, and continuously evolve modern data architecture to ensure scalability, reliability, and adaptability, supporting business growth and innovation - Develop, optimize, and fine-tune ETL/ELT pipelines and data processing workflows to integrate data from multiple systems and platforms, ensuring high data quality, performance, scalability, reliability, and cost-efficiency - Ensure data quality, security, and compliance by implementing best practices, governance policies, and robust security measures to protect sensitive data and meet regulatory requirements - Manage and optimize database and data warehouse performance, including query optimization, indexing strategies, and performance tuning, to ensure fast, efficient, and reliable data retrieval - Create and maintain data warehouses and data lakes that support business intelligence and analytics needs across restaurant operations, customer engagement, and supply chain management - Implement data collection and integration processes from various sources including POS systems, online ordering platforms, inventory management, and customer feedback channels - Build and maintain comprehensive data documentation including data dictionaries, flow diagrams, and architecture designs - Mentor and guide the development team on data management best practices, database design, and efficient workflow integration - Support additional tasks or responsibilities as assigned by the line manager to contribute to the team's and organization's success **_Example Projects_** - _Building a real-time analytics platform to monitor restaurant performance metrics_ - _Developing customer segmentation data pipelines that power personalized marketing initiatives_ - _Creating inventory optimization models based on historical sales data and seasonal trends_ - _Implementing a unified data platform that connects front-of-house and back-of-house operations_ **ARE YOU A FIT?** **1. Required Qualifications** - Bachelor's degree in Computer Science, Information Technology, Data Science, or related field (or equivalent practical experience) - Minimum 3 years of experience in Data Engineering, Analytics Engineering, or a similar role, with a proven track record in building and maintaining scalable data pipelines and infrastructure - Proficient in programming with Python and Java/Scala, and experienced in working with CI/CD pipelines - Strong SQL skills and hands-on experience with the modern data stack on cloud platforms such as GCP, AWS, or Azure - Practical experience with workflow orchestration tools such as Airflow, Prefect, or Dagster - Skilled in data modeling and transformation using tools like dbt, Dataform, or equivalent - Familiar with BI/visualization tools including Superset, Looker, or Metabase - Solid understanding of distributed data processing and streaming frameworks such as Kafka, Spark, or Flink - Experience with relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra) - Strong problem-solving skills, attention to detail, and a self-learning attitude - Proficient in English, both written and verbal, with the ability to read technical documentation and communicate effectively with cross-functional teams **2. Preferred Skills** - Experience in the hospitality or food service industry - Knowledge of restaurant technology ecosystems, particularly POS systems integration and customer data platforms - Experience with containerization and orchestration tools (Docker, Kubernetes) - Understanding of machine learning pipelines and productionization - Knowledge of data governance and compliance requirements specific to the food service industry - Experience building real-time analytics dashboards for operational metrics - Familiarity with DataOps and DevOps practices **JOIN US, LET’S SEE WHAT WE CAN OFFER** - Competitive salary & allowances - 13th month salary - 12 annual leave days - 24/7 accident insurance - Internal discount (~50%) for brands of Pizza 4P‘s, Ippudo, About Life Coffee, etc **Salary**: Negotiate **Working Address**: Pizza 4P‘s Ho Chi Minh **Department**: Head Office (Non-managerial Level) **Application Time**: 07/05 — 30/06/2025