Senior Executive, Data Engineer

SD Guthrie Berhad

Petaling Jaya

Hybrid

MYR 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Flexible benefits coverage

Hybrid workplace

Learning on demand

Employee wellness programme

Engagement activities

Education assistance

Free parking

Free shuttle service

Job summary

SD Guthrie Berhad seeks a data engineering leader to shape the GIGA analytics platform. You will design scalable pipelines that ingest SAP ECC6/S/4HANA, IoT, geospatial data and external providers for audit and analytics use cases.

The role emphasizes data modelling, governance, collaboration with Group IT and auditors, and enabling self-service analytics through clean, well-documented datasets with opportunities in ML and RPA.

Qualifications

Bachelor's degree in a technical field (CS/CE/SE/Data Science)
Professional certification is a plus
Minimum 3 years in data engineering or related role
Proficiency in SQL and at least one programming language
3+ years experience with ETL/ELT tools and orchestration
Familiarity with cloud data platforms and data warehouses
Understanding of data modelling concepts and performance optimisation

Responsibilities

Define and execute the data engineering vision and roadmap
Design, develop, and maintain ETL pipelines ingesting SAP ECC6/S/4HANA, IoT, geospatial data and external sources
Ensure scalable, secure, cost-efficient analytics infrastructure
Monitor and optimise data workflows for performance and resilience
Build and maintain data marts and data lakes for reporting and analytics
Develop data models to support audit and analytics use cases
Implement data validation, monitoring and governance practices
Collaborate with group IT, auditors and data scientists
Enable self-service analytics through clean datasets and documentation
Explore advanced analytics, ML, and automation to improve audit efficiency
Document standards and support analytics innovation

Skills

SQL

Python

ETL/ELT

Cloud data platforms

Data modelling

Infra scalability

Education

Bachelor’s degree (CS/CE/SE/Data Science)

Tools

SAP ECC6/S/4HANA

Job description

SD Guthrie Berhad (SD Guthrie) is one of the world’s leading producers of Certified Sustainable Palm Oil (CSPO), representing approximately 12% of the global market share (as of 31 December 2022). With over 84,000 employees across 12 countries, we pride ourselves on innovation, sustainability, and excellence. Our operations span the entire palm oil value chain, and we are expanding into new business verticals such as green industrial parks and renewable energy. We offer enriching career opportunities supported by cutting-edge technology and a commitment to sustainability. We are the world’s first palm oil company to have our net-zero GHG emissions reduction targets approved by the Science Based Targets initiative (SBTi).

Join us today, as we continue to Unlock Nature's Superpowers.

Your Mission

Strategic Alignment & Architecture: Assist the Head, GCA IT & Data Analytics in defining and executing the department’s data engineering vision, roadmap, and target architecture, ensuring alignment with organisational objectives, enterprise policies, and technology standards.
Data Pipeline & Development: Design, develop, and maintain robust Extract, Transfer & Load (ETL) pipelines to ingest, process, and transform data from diverse sources, including Enterprise Resource Planning (SAP ECC6 and S/4HANA) and operational systems, IoT devices, geospatial platforms, and external data providers.
Scalable Analytics Infrastructure: Ensure that data pipelines supporting the GIGA analytics infrastructure are scalable, secure, cost-efficient, and highly reliable to meet growing business and operational demands.
Performance & Cost Optimisation: Monitor, troubleshoot, and continuously optimise data workflows to improve performance, resilience, and cost efficiency.
Data Storage & Management: Build, manage, and maintain GIGA’s Data Mart, data lake, and related data storage solutions to support department’s reporting, analytics, and advanced use cases.
Data Modelling & Architecture Collaboration: Develop and maintain data models that support analytics, operational reporting, and decision‑making tailored for audit and investigation activities. Collaborate closely with Group IT and Group Digital teams on data architecture decisions to support current and future data requirements.
Data Quality, Reliability & Governance: Implement data validation, testing, monitoring and observability practices to ensure data accuracy, completeness and consistency. Proactively identify and resolve data quality issues, pipeline failures and anomalies.
Stakeholder and Cross‑Functional Collaboration: Work closely with GCA auditors, data analytics specialists, data scientists, and business stakeholders across plantation’s upstream, downstream and support operations to understand data requirements related to audit and controls.
Self-service Analytics Enablement: Enable self-service analytics by delivering clean, trusted, and well‑documented datasets. Support reporting, dashboards, and other GIGA data consumers through coaching, knowledge sharing and technical guidance.
Advanced Analytics & Emerging Technologies: Explore, develop, and support the implementation of advanced analytics solutions, including but not limited to Robotic Process Automation (RPA), Machine Learning, and AI, leveraging large structured and unstructured datasets (i.e. voice, video, text, geospatial images, and sensor data) to improve audit and investigation efficiencies.
Innovation & Continuous Improvement: Stay informed of emerging trends, tools, and best practices in data engineering and analytics, and proactively recommend improvements to enhance data capabilities and operational efficiency.
Documentation & Standards: Establish and maintain comprehensive documentation for data pipelines, data models and engineering standards for GIGA. Actively participate in analytics innovation initiatives and continuous improvement programmes

Ideal Candidate

Relevant tertiary education (minimum bachelor’s degree), primarily in Computer Science / Computer Engineering, Software Engineering, Data Science, Statistics, Mathematics or equivalent.
Professional certification or technical qualification (e.g. Certified Data Analyst, Certified Data Scientist, Certified Data Engineer, Microsoft Certified: Azure Fundamentals) is a plus.
Minimum 3 years of experience in data engineering, software engineering or a related role.
Proficiency in SQL and at least one programming language (e.g. Python, Java, Scala)
Minimum 3 years of experience with ETL / ELT tools and orchestration framework.
Familiarity with cloud data platforms and data warehouses.
Understanding of data modelling concepts and performance optimisation.

Why Join Us?