Senior Executive, Data Engineer

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Job Description:

Responsibilities:

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

Requirements:

• •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.

To apply, please submit your resume and cover letter outlining your interest for this role.