Senior Data Engineer: Azure ETL & Data Migration Lead

Randstad Malaysia; Kuala Lumpur; On-site; MYR 180,000 - 260,000; Full time

Benefits offered by this job

Career Growth Opportunities

Excellent Benefits

Public Transport Accessible Location

Job summary

Randstad Malaysia is seeking an experienced Data Engineer specializing in data migration and Azure-based data solutions. You will lead end-to-end migrations, design scalable ETL pipelines, and build robust data models to support analytics and BI across a financial services client in Malaysia.

The role requires deep SQL skills and hands-on experience with Oracle and MS SQL Server, along with cloud architecture using Azure Data Factory, Synapse and Databricks.

Qualifications

• 7+ years of data engineering and migration experience.
• Hands-on with Azure data services (e.g., Azure Data Factory, Synapse, Databricks).
• Deep knowledge of Oracle and MS SQL Server; strong SQL querying.

Responsibilities

• Lead end-to-end data migration projects including legacy system analysis and mapping.
• Design, build, test and maintain scalable ETL pipelines for large data volumes.
• Design robust data models to support reporting and BI requirements.
• Write, optimize, and troubleshoot SQL queries, procedures, and scripts across relational DBs.
• Leverage Azure data services to build secure, scalable data infrastructure.
• Collaborate with analysts, software engineers and stakeholders to translate requirements into data solutions.

Skills

Data migration

Data engineering

Python

SQL

ETL

Oracle/MS SQL

Education

Vocational/Professional Qualification

Tools

Azure Data Factory

Azure Synapse

Databricks

Job description

Randstad Malaysia is seeking an experienced Data Engineer specializing in data migration and Azure-based data solutions. You will lead end-to-end migrations, design scalable ETL pipelines, and build robust data models to support analytics and BI across a financial services client in Malaysia.

The role requires deep SQL skills and hands-on experience with Oracle and MS SQL Server, along with cloud architecture using Azure Data Factory, Synapse and Databricks.