Data Engineer

Responsibilities Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning. Develop automation Python script to support internal teams like CRM, Admin framework, ad hoc project Develop API using Python framework for internal transfer data. Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes. Help streamline our data science workflows, adding value to our product offering and building out our customer lifecycle and retention models. Requirements At least 3 years of experience with Python, SQL, and data visualization/exploration tools. At least 1 year of experience working with AI tool for coding or research Knowledge of programming languages such as SQL, Postgres, BigQuery, ClickHouse, and Python, as well as NoSQL databases like MongoDB and Elasticsearch. Technical proficiency in database design and development, data modeling, data mining techniques, and segmentation. Experience working with ETL frameworks and databases. Strong problem-solving, teamwork, and communication skills (both verbal and written). Comfortable working in a dynamic, research-oriented environment with multiple concurrent projects. Benefits Comprehensive benefits – Full insurance coverage, lunch & parking allowance, and additional support. Attractive compensation – Competitive salary (negotiable) with performance-based bonuses. Exciting start-up environment – Work with experienced leaders in a fast-paced, innovative team. Career growth – Take on new challenges, sharpen your skills, and make a real impact. Training support and clear career progression. Flexible & fun workplace – Modern office, flexible hours, and remote-friendly options.  Team bonding & celebrations – Company birthday events, parties, Happy Hour, and annual team trips. Work Location: 173 Tran Nao, An Khanh, Thu Duc, Ho Chi Minh City Working Hours: Monday - Friday (08:30 - 18:00), Saturday (08:30 - 12:00) Recruitment ProgressRound 1CV screenningRound 2Technical leader InterviewRound 3Face to Face Interview