Senior SAP Data Migration Lead for S/4HANA Deployments

Aitek Group; Shah Alam; On-site; MYR 180,000 - 280,000; Full time

Job summary

Aitek Group is seeking an experienced Data Migration Lead based in Shah Alam, Malaysia to drive SAP S/4HANA migration activities from planning through cutover. You will extract, profile, and cleanse data from legacy systems, define mappings and transformation rules, and coordinate remediation with data owners and IT teams.

The role requires strong SQL, ETL tooling, and Python scripting experience, plus familiarity with Databricks and Power BI for analytics and reporting.

Qualifications

• 8+ years of experience in data migration or large-scale data transformation.
• Hands-on SQL, data profiling and ETL/data transformation tooling.
• Experience with SAP master and transactional data.
• Knowledge of SAP S/4HANA migration approaches and tooling is desirable.
• Python scripting is a plus; Databricks and Power BI familiarity a bonus.
• Strong analytical and problem-solving skills.
• Ability to communicate with both business and technical stakeholders.

Responsibilities

• Lead data migration activities from preparation to execution for SAP S/4HANA.
• Extract, analyse and profile data from legacy systems.
• Identify data quality issues and drive cleansing and remediation.
• Define and validate data mappings and transformation rules.
• Execute mock loads, migration testing and reconciliation.
• Support cutover and hypercare during go-live.
• Develop insights and reporting on migration progress and data quality.
• Collaborate with international migration teams.
• Investigate root causes and implement sustainable solutions.
• Act as a trusted advisor to Data Owners, Data Stewards, and IT teams.

Skills

Data migration

Data profiling

Analytical skills

Communication

Problem solving

Tools

SQL

ETL tools

Python

Databricks

Power BI

Job description

Aitek Group is seeking an experienced Data Migration Lead based in Shah Alam, Malaysia to drive SAP S/4HANA migration activities from planning through cutover. You will extract, profile, and cleanse data from legacy systems, define mappings and transformation rules, and coordinate remediation with data owners and IT teams.

The role requires strong SQL, ETL tooling, and Python scripting experience, plus familiarity with Databricks and Power BI for analytics and reporting.