DATA ENGINEER

Tap Growth ai; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tap Growth ai is seeking an experienced Data Engineer to design, build, and maintain robust data pipelines and architectures in Singapore. The role emphasizes data availability, quality, and security across the organization and demands strong collaboration with analytics teams.

The candidate should have at least 8 years of hands-on data engineering experience, including batch and real‑time processing, and with cloud services like Azure Data Factory, Databricks, Snowflake, or Kafka.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related field.
• At least 8 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Engineer, with design and managing enterprise data architecture.
• Experience with batch and real time processing.
• Strong programming in Python, SQL, SAS, or R for data engineering tasks.
• Experience with data processing tools (Informatica, Kettle, Talend, Airflow, Dolphin).
• Experience with cloud platforms (Azure Data Factory, Databricks, Snowflake, Kafka).
• Experience with data storage (SQL/NoSQL, Vector and Graph).
• BI tool experience (Power BI, Tableau).
• Excellent problem-solving and ability to work with large data sets.
• Strong communication with non-technical stakeholders.

Skills

Problem-solving

Attention to detail

Communication

Independence

Team collaboration

AI tech stack

BI tools exposure

Education

Bachelor's degree in CS/Data Science/Statistics or related

Tools

Python

SQL

SAS

R

Job description

We're Hiring: Data Engineer!

We are looking for an experienced and innovative Data Engineer to join our team in Singapore. The ideal candidate will have at least 8 years of hands-on experience designing, building, and maintaining robust data pipelines and architectures. You will play a key role in supporting our analytics initiatives and ensuring data availability, quality, and security across the organization.

Location: Singapore, Singapore
Work Mode: Work from Office
Role: Data Engineer

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• At least 8 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Engineer, with design and managing enterprise data architecture, including batch and real time processing.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Proven experience in at least one major data processing tool (Informatica, Kettle, Talend, Airflow, Dolphin etc.).
• Prior experience with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL/NoSQL, Vector and Graph etc.).
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Prior experience of AI technology stack is a great plus.
• Prior experience in at least one BI tool (Power BI, Tableau, etc.).
• Related industry experience is a plus.