Lead Data Engineer

Overview

Lead design, development, and deployment of enterprise data pipelines and AI solutions.

Key Responsibilities

• pipeline development
• data governance
• team leadership
• tech integration
• stakeholder alignment
• architecture standards

Tasks

-Review, approve, and provide feedback on data pipeline and data model designs. Foster a culture of continuous improvement, innovation, and accountability. -Stay updated with the latest industry trends in Data, Cloud, and AI -Lead the development, optimization, and deployment of reliable data pipelines to Production. -Partner with stakeholders across business and IT to align solutions with organizational objectives. -Supervise and mentor a team of Data Engineers, setting clear goals, KPIs, and development plans. -Explore and integrate emerging technologies such as Retrieval-Augmented Generation (RAG), text-to-SQL, and other AI-driven data solutions. -Ensure compliance with data governance, lineage, and quality frameworks. -Troubleshoot and resolve complex data pipeline and integration issues -Collaborate with DevOps and Data Governance teams for smooth deployment and lifecycle management -Work closely with the Data/AI Lead to identify opportunities where data can fuel advanced AI applications and business insights. -Ensure adherence to best practices in architecture, coding standards, security, and compliance.

Requirements

• sql
• python
• spark
• databricks
• google cloud
• leadership

What You Bring

-Open to learning, adaptable to new technologies, and proactive in applying innovative solution -Certifications in AI/ML or MLOps (e.g., TensorFlow, OpenAI, AWS ML, Azure AI Engineer) are a plus. -Proven track record reviewing and approving data architecture/designs and promoting to Production in governed environments -Proficiency in SQL, Python, Spark, Synapse/Fabric, Databricks, or equivalent. -Google Cloud Professional Data Engineer / AWS Certified Data Analytics – Specialty -Proven ability to lead, mentor, and inspire technical teams. -Strong problem-solving, critical thinking, and decision-making abilities. -Strong experience in ETL/ELT pipeline development, cloud-based data platforms (Azure, AWS, or GCP), and data modeling. -Exposure to AI technologies such as LLMs, RAG, and text-to-SQL preferred -5+ years in Data Engineering (or adjacent roles) delivering production-grade data solutions; 2+ years as a tech lead or people lead. -Databricks Certified Data Engineer Associate / Professional

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About Kuok Group Singapore

-With a multi‑billion‑dollar asset base, it champions ventures in data centres, sea transport, shipbuilding and property. -It builds hyperscale data centres under K2 Strategic to power the digital economy across Asia and beyond. -Its maritime arm weaves together shipping, offshore services, marine engineering and shipyard operations globally. -Through Allgreen Properties, it shapes vibrant real estate precincts—residential, retail, commercial and hospitality. -Projects range from sprawling data campuses to shipyards in China and landmark malls in Singapore. -Its legacy ties back to a family tradition of trading rice, sugar and flour, now spanning six continents. -Despite its roots in commodity trading, the group’s reach now spans cutting‑edge infrastructure and global logistics. -Its story is one of reinvention—transforming from humble beginnings into a modern conglomerate with global scale.

Sector Specialisms