Manager, Data Platform & Engineering
Summary
The Manager, Data Platform & Engineering will lead the development and operation of an enterprise data platform, building scalable pipelines and data models to support analytics and AI initiatives. The role involves managing a data engineering team and ensuring data quality, governance, and platform reliability using technologies like Azure, SQL, and Python.
We are looking for an experienced Manager, Data Platform & Engineering to lead the development and operation of our enterprise data platform. This role will be responsible for building scalable data solutions, ensuring data quality and governance, and enabling analytics and AI initiatives across the organization. The successful candidate will combine strong technical expertise with leadership capabilities to build and mentor a high-performing data engineering team.
Job Responsibilities
- Lead the development, delivery, and operation of the Group's enterprise data platform.
- Build and maintain scalable data pipelines, integrations, and data models to support analytics and AI initiatives.
- Ensure data quality, governance, security, platform reliability, and cost efficiency.
- Deliver trusted and governed datasets for reporting, business intelligence, and decision-making.
- Collaborate with Digital Innovation, Enterprise Architecture, and business stakeholders on data-driven initiatives.
- Establish engineering best practices, standards, and documentation to support sustainable platform growth.
- Lead, mentor, and develop a high-performing data engineering team.
- Manage platform roadmap, project delivery, and technology investments to achieve business objectives.
Job Requirements
- Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Minimum 6 years of experience in Data Engineering, Data Platform, Data Warehouse, or related roles.
- At least 2-3 years of experience leading a team or serving as a technical lead.
- Proven experience designing and delivering enterprise-scale cloud data platforms and data pipelines.
- Strong hands‑on expertise in SQL, Python and/or Spark, data modelling, and data integration.
- Experience with Microsoft Azure, Microsoft Fabric, Synapse, Data Factory, Power BI, or similar data platform technologies.
- Good understanding of data governance, data quality, master data management, and data security practices.
- Experience managing platform performance, monitoring, and operational reliability in a production environment.
- Strong stakeholder management, communication, and problem‑solving skills.
- Experience within manufacturing, commodity trading, FMCG, or supply chain-intensive industries.
- Exposure to AI/Generative AI, machine learning, or data platforms supporting AI applications.
- Familiarity with Microsoft Purview and enterprise data governance solutions.
Mewah Group is an integrated agri-business focused on edible oils and fats. One of the largest palm oil processors in the world by capacity, Mewah produces a wide range of refined and fractionated vegetable oils and fats principally from palm oil. It also produces oils and fats from lauric oils, such as palm kernel oil and coconut oil; and from soft oils, such as soybean oil, canola oil, sunflower seed oil and corn oil. Featuring integrated operations throughout the edible oils and fats value chain, from sourcing and processing of raw materials to packing, branding, merchandising, shipping and distribution of the products, Mewah’s products are sold to customers in more than 100 countries, duly supported by its wide range of brands including long established and well recognized Oki and Moi brands.
- Medical
- Miscellaneous allowance
- Education support
- Loans
- Dental
- Sports (e.g. Gym)
- Parking
- Vision
- Loyalty Bonus/Long Service Award
- Training & Devel