Collaborate with business and technical leaders to design and build robust data engineering solutions
Implement scalable ELT/ETL pipelines, cloud data warehouse structures, and dimensional data models
Design and implement intuitive, enterprise-grade dashboards and semantic models using Power BI
Utilize advanced proficiency in SQL and Python for complex data manipulation and workflow automation
Partner with project leads to enforce rigorous security best practices
Develop and maintain comprehensive technical documentation for data flows, schemas, and operational processes
Rapidly master cutting-edge, cloud-native technologies and acquire deep domain expertise across diverse client industries

Bachelor’s degree or higher, ideally in Computer Science, Information Technology, Information Systems, or a similar field
1–2 years of experience delivering high-impact data solutions
1–3 years of hands-on experience with cloud-native data tools such as dbt, Azure Data Factory, AWS Glue, or Databricks
Expert-level command of SQL and practical experience using Python
Proven experience designing enterprise-grade data visualizations with Power BI
Practical exposure to modern cloud database environments like Snowflake, Azure Synapse/SQL, AWS Redshift, or GCP BigQuery
Understanding of ELT architectures, dimensional modeling, version control via Git, and CI/CD principles
Core strengths such as Accountability, Adaptability, Business Acumen, and an Innovative mindset

Retirement planning (i.e. CPF, EPF, company-matched 401(k)
Medical insurance in line with industry benchmarks
Mental health resources and additional wellness programs
Generous time off and leave allowances
Opportunities to create a lasting impact and learn and grow professionally & personally
Collaborative work environment and supportive culture

Delivery Engineer – Data

Key skills