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
As a Data Engineer, you will play a pivotal role in architecting and developing modern data warehouse and data lake solutions that serve as the foundation for both batch and real-time analytics, as well as AI-driven systems. You will work closely with cross-functional teams to build a robust, scalable data infrastructure that empowers intelligent applications and enables data-driven decision-making across the organization.
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