Data Engineering Intern: SQL, Pipelines & Tableau Dashboards

Siemens Energy; Petaling Jaya; Hybrid; MYR 60,000 - 120,000; Full time

Benefits offered by this job

Remote/Flexible work

Job summary

Siemens Energy in Malaysia is seeking a data engineer who designs, develops, and optimizes SQL databases and data pipelines to support scalable data processing. Responsibilities include building reusable ETL/ELT pipelines, modeling clean and accurate data for reporting, and supporting high performance and compliance in data operations.

The role also supports analytics through trusted datasets and semantic models for Tableau dashboards, with thorough documentation maintained for collaboration and

Qualifications

• Bachelor’s degree or equivalent in IT/CS with data analytics focus.
• Strong knowledge of relational database design and SQL.
• Experience building ETL/ELT pipelines and handling large datasets.
• Familiarity with lakehouse architecture and data governance.
• Excellent teamwork and communication with technical and business teams.

Responsibilities

• Design, develop, and optimize SQL databases and data pipelines.
• Build reusable ETL/ELT pipelines and lakehouses.
• Model clean, reporting-ready data with analysts.
• Monitor performance and ensure data quality and compliance.
• Prepare datasets and semantic models for Tableau dashboards.
• Document processes for governance and collaboration.

Skills

Relational database design

Dynamic SQL

ETL/ELT pipelines

Large datasets

Lakehouse patterns

Data quality & governance

Teamwork & communication

Education

Bachelor's degree in IT/CS or equivalent

Tools

Tableau

SQL

ETL tools

Job description

Siemens Energy in Malaysia is seeking a data engineer who designs, develops, and optimizes SQL databases and data pipelines to support scalable data processing. Responsibilities include building reusable ETL/ELT pipelines, modeling clean and accurate data for reporting, and supporting high performance and compliance in data operations.

The role also supports analytics through trusted datasets and semantic models for Tableau dashboards, with thorough documentation maintained for collaboration and