Data Engineer
Summary
Data Engineer building and maintaining ETL/ELT pipelines that integrate SAP and GEP SMART ERP/procurement data for enterprise analytics. Day to day: data modeling, pipeline monitoring, migrations, and documentation, using SQL, Python/PySpark, and cloud warehouses like Synapse, Redshift, BigQuery, or Snowflake.
Hirix (Hunt & Gather Sdn Bhd) is looking for a Data Engineer to design, build, and maintain robust data pipelines that power enterprise ERP and procurement platforms. You will work closely with functional and technical teams to integrate data across SAP and GEP SMART ecosystems, ensuring data quality, availability, and performance at scale. This role is central to driving procurement intelligence and operational efficiency across the business.
What you'll do
- Design, develop, and maintain scalable ETL/ELT pipelines to move and transform data between SAP, GEP SMART, and downstream analytical systems
- Integrate enterprise ERP datasets with procurement platforms, ensuring data consistency, lineage, and governance across the full data lifecycle
- Build and optimise data models that support procurement reporting, spend analytics, and operational KPIs
- Collaborate with functional consultants and business stakeholders to understand data requirements and translate them into reliable engineering solutions
- Monitor pipeline performance, troubleshoot data quality issues, and implement automated alerting and remediation workflows
- Develop and maintain technical documentation including data dictionaries, data flow diagrams, and integration specifications
- Support data migration initiatives during ERP upgrades or procurement platform rollouts, including data mapping, cleansing, and validation
What we're looking for
- 3–5 years of hands-on experience in data engineering, with at least one enterprise ERP environment (SAP preferred)
- Proficiency in SQL and at least one scripting language such as Python or PySpark for data transformation and pipeline development
- Demonstrated experience integrating with SAP modules (e.g., MM, FI, SRM) via APIs, IDocs, BAPIs, or SAP Data Services
- Familiarity with GEP SMART or comparable procurement platforms (Ariba, Coupa) and their data structures
- Experience with cloud data platforms or data warehousing solutions such as Azure Synapse, AWS Redshift, Google BigQuery, or Snowflake
- Working knowledge of data governance principles, master data management, and data quality frameworks in an enterprise context
- Ability to read and interpret entity-relationship diagrams and functional specifications to deliver accurate data mappings
- Strong analytical and problem-solving skills with a rigorous approach to data validation and testing
What you get
- Competitive salary between MYR 6,500 and MYR 14,000 based on experience
- Medical and hospitalisation coverage
- Hybrid working arrangement with a Kuala Lumpur base
- Structured learning and development budget for certifications and conferences
- Annual performance bonus tied to company and individual outcomes
- Exposure to large-scale enterprise transformation projects across procurement and ERP domains