Data Engineer


Posted on: 6 Nov 2025
Location: Singapore

Position Summary

We are looking for a Data Engineer to join our team and contribute to a major project within the semiconductor manufacturing domain. The role involves designing and implementing data pipelines, managing Oracle-based data environments, and supporting end-to-end BI processes — from data ingestion to visualization. This position is based on-site at our partner’s advanced manufacturing facility in the West, offering hands-on exposure to large-scale industrial data systems.

Key Responsibilities

  • Design and create robust data models to support efficient querying and reporting.

  • Define relationships, hierarchies, and calculated columns/measures that align with business logic

  • Design, develop, and maintain data pipelines and ETL workflows for manufacturing data (ERP, MES, SPC, FDC, etc.).

  • Implement and optimize database logic, including stored procedures, functions, and PL/SQL scripts.

  • Build and manage staging schemas, data validation processes, and data transformation logic.

  • Develop and maintain data marts and dimensional models to support analytics and reporting.

  • Collaborate with BI developers and analysts to deliver Power BI dashboards, KPI reports, and visual analytics.

  • Ensure data accuracy, consistency, and completeness across multiple source systems.

  • Support data governance, documentation, and performance tuning efforts.

  • Partner with internal and external stakeholders to ensure timely and high-quality data delivery for business use.

  • Perform any ad-hoc duties assigned by the Company as and when required.

Qualifications & Skills

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.

  • Minimum 3 years of experience in data engineering, data integration, or BI development.

  • Strong understanding of data warehousing concepts, schema design, and ETL best practices.

  • Solid working experience with relational databases (e.g. Oracle, SQL Server, MySQL, PostgreSQL), including stored procedures and query optimization.

  • Proficient with ETL tools such as Pentaho Kettle, Informatica, Talend, or similar.

  • Experience developing reports and dashboards in Power BI (or Tableau/Qlik).

  • Familiarity with SQL pipelines, data validation, and data replication tools.

  • Strong analytical and problem-solving mindset with attention to data quality and performance.

  • Ability to work collaboratively with business, IT, and engineering teams in fast-paced environments.

  • Excellent documentation and communication skills.

Preferred / Additional

  • Experience in semiconductor or manufacturing systems (ERP, MES, SPC, FDC) preferred.

  • Exposure to data replication frameworks (Oracle Golden Gate, SharePlex, AWS Glue) is an advantage.

  • Familiarity with cloud-based data warehouses (Snowflake, Redshift, Synapse) and Giga Report is a plus.

  • Knowledge of data governance frameworks, metadata management, and data security best practices.

Apply now