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AI Data Engineer
Design and deploy AI-driven data pipelines on AWS, fine-tuning ML models for document processing and corporate compliance in a fast-paced energy-adjacent environment.
Senior Data Engineer - QuantumBlack
Senior Data Engineer building scalable ML pipelines and GenAI applications using Python, PySpark, Kedro, and cloud platforms to deliver AI solutions for enterprise clients.
Senior Data Engineer ( AWS & AI Platform )
Senior Data Engineer builds and maintains AWS-based data pipelines (batch/streaming) with Databricks, Kafka, and AI services like Bedrock and Gemini, ensuring reliability and integration with BI dashboards.
Data Engineer, Big Data (18-months contract)
Design and maintain scalable data pipelines and analytics solutions using big data tech (Spark, Hadoop, cloud platforms) to deliver insights via BI dashboards and reports.
Intern, Data Engineering
Intern in data engineering building AI and analytics pipelines for renewable energy and utilities, using Python, Spark, and cloud tools.
Senior Staff / Staff Engineer Data Engineer
Design and maintain scalable data pipelines and platforms to support AI projects in semiconductor manufacturing, ensuring high-quality data for analytics and decision-making.
Data Engineering Manager
Leads data infrastructure on Alibaba Cloud (MaxCompute, Hologres, PAI), designing scalable pipelines, optimizing ETL/ELT workflows, and mentoring engineers to ensure high-quality, secure, and future-proof data systems for business needs.
Security Cloud Data Engineer
Designs and maintains secure cloud data pipelines (AWS/Azure/GCP) to analyze cybersecurity trends, enforce encryption/access controls, and ensure compliance with government policies while collaborating on incident response and audits.
Cloud Data Engineer
Designs and builds cloud data pipelines, warehouses, and analytics platforms using AWS, Databricks, and Informatica for healthcare clients.
Intern, Data Engineering
Builds and maintains data pipelines, orchestrates workflows, and models data for a sustainability-focused conglomerate using Python, SQL, and modern data tools.
Intern, Data Engineering & ML Pipeline
Build and maintain scalable data pipelines and ML workflows using Azure and modern data engineering tools to support renewable energy analytics and AI-driven solutions.
Data Engineer - Marketplace App & Mobile
Builds and optimizes data pipelines and warehouses for Shopee’s mobile apps, enabling real-time analytics, A/B testing, and user behavior tracking to improve app performance and product decisions.
Data Engineer - QuantumBlack
Builds and maintains scalable data pipelines, GenAI applications, and advanced analytics platforms for McKinsey’s QuantumBlack AI division, collaborating with clients and cross-functional teams to solve high-impact business problems using Python, PySpark, Kubernetes, and cloud technologies.
Data Engineer Intern, Technology
Build and maintain cloud-based data pipelines and dashboards using SQL, Spark, and AWS for Temasek’s investment data workflows.
Data Engineer (Junior to Lead roles available)
Builds and optimizes data pipelines using Informatica/IDMC or Databricks with Python, integrating sources and delivering clean data for analytics teams.
Senior Data Engineer - Audience
Build and maintain real-time and batch data pipelines for clickstream analytics using Flink, Kafka, and cloud tools to power user engagement insights for a media company.
Data Engineer (ETL & PySpark)
Designs and builds scalable ETL pipelines using Python, PySpark, and SQL to process large datasets and power analytics and reporting systems.
Data Engineer (6m contract)
Data Engineer to migrate legacy data infrastructure from Netezza to Snowflake, converting ETL pipelines and optimizing schemas for cloud-native analytics.
Data Engineer (6 Months Contract)
Build and maintain scalable data pipelines and warehouses to power analytics and insights for a telecom-focused customer lifecycle team using cloud platforms and big data tools.
Data Engineer
Designs and maintains data pipelines and warehouses for Singapore’s official statistics, using SQL, Python, and ETL/ELT tools to integrate diverse data sources.