Lead Data Engineer

2 days ago

Tiong Bahru, Singapore Kuok Group Singapore Full time $120,000 - $200,000 per year

Company description:

Located at the heart of Asia, Kuok Group Singapore (KGSg) is a dynamic, diversified conglomerate with global reach and established brands in the digital infrastructure, maritime and real estate sectors.

Our businesses include the digital infrastructure business of K2 Strategic, maritime entities such as POSH, PCL, and PaxOcean, which together form part of Kuok Maritime Group, and the real estate business of Allgreen Properties.

At KGSg, we nurture young talent through mentorship, leadership development, and cross-functional exposure, offering diverse career pathways and global opportunities across our businesses.

Explore your future with KGSg today

Job description:

Key Responsibilities

Team leadership and Oversight

  • Supervise and mentor a team of Data Engineers, setting clear goals, KPIs, and development plans.
  • Review, approve, and provide feedback on data pipeline and data model designs.
  • Foster a culture of continuous improvement, innovation, and accountability.

Data Engineering Excellence

  • Lead the development, optimization, and deployment of reliable data pipelines to Production.
  • Ensure adherence to best practices in architecture, coding standards, security, and compliance.
  • Troubleshoot and resolve complex data pipeline and integration issues

Innovation & AI Expansion

  • Explore and integrate emerging technologies such as Retrieval-Augmented Generation (RAG), text-to-SQL, and other AI-driven data solutions.
  • Work closely with the Data/AI Lead to identify opportunities where data can fuel advanced AI applications and business insights.
  • Stay updated with the latest industry trends in Data, Cloud, and AI

Collaboration & Governance

  • Partner with stakeholders across business and IT to align solutions with organizational objectives.
  • Ensure compliance with data governance, lineage, and quality frameworks.
  • Collaborate with DevOps and Data Governance teams for smooth deployment and lifecycle managemen

Key requirements

  • 5+ years in Data Engineering (or adjacent roles) delivering production-grade data solutions; 2+ years as a tech lead or people lead.
  • Proven track record reviewing and approving data architecture/designs and promoting to Production in governed environments.
  • Strong experience in ETL/ELT pipeline development, cloud-based data platforms (Azure, AWS, or GCP), and data modeling.
  • Proficiency in SQL, Python, Spark, Synapse/Fabric, Databricks, or equivalent.
  • Knowledge of MLOps, containerization (Docker, Kubernetes) is an advantage.
  • Exposure to AI technologies such as LLMs, RAG, and text-to-SQL preferred.
  • Leadership & Growth Mindset:
  • Proven ability to lead, mentor, and inspire technical teams.
  • Strong problem-solving, critical thinking, and decision-making abilities.
  • Open to learning, adaptable to new technologies, and proactive in applying innovative solution

Education

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field

Certification (Preferred but not mandatory):

  • Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect
  • Google Cloud Professional Data Engineer / AWS Certified Data Analytics - Specialty
  • Databricks Certified Data Engineer Associate / Professional
  • Certifications in AI/ML or MLOps (e.g., TensorFlow, OpenAI, AWS ML, Azure AI Engineer) are a plus.

We offer:

Perks and Benefits

  • Medical
  • Dental
  • Sports (e.g. Gym)
  • Vision
  • Flexible Benefits

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