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Associate Engineer/Engineer, Data Engineering
Builds and maintains scalable data pipelines and frameworks for ingestion, processing, and storage using big-data tools like Spark, Kafka, and Airflow.
Big Data Engineer: Build Scalable Pipelines
Build and maintain scalable data pipelines using Spark and Hadoop to process large datasets and enable analytics for business needs.
Data Engineer, Big Data (Contract)
Build and maintain scalable data pipelines and BI dashboards for a fintech company, using big data tech like Spark and cloud platforms such as GCP.
Data Engineering/Architecture Manager (Public Services)
Design and build enterprise data architecture, pipelines, and governance for public-sector clients using SQL, ETL tools, and cloud platforms like AWS/Azure.
Head, AI Data Solutioning, AI Data Engineering, xData
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
SR ENGINEER, DATA ENGINEERING, SMAI
Build and optimize data pipelines, ETL/ELT processes, and cloud-based analytics systems using Snowflake, GCP, and Apache Ni-Fi to support AI-driven workloads for smart manufacturing.
Data Engineer (Data Platform) - Singapore
Build and optimize Plaud’s data platform to power AI-driven productivity tools, focusing on data warehousing, ETL/ELT, governance, and cloud services.
Senior Data Engineer (AI)
Design and maintain scalable data pipelines and lakehouse architectures to power AI models and analytics dashboards, using AWS, Databricks, and Snowflake.
Senior Data Engineer - Data Pipelines & Streaming
Build and optimize data pipelines and streaming applications using Hadoop and Python for Singtel’s data infrastructure.
Enterprise Data & AI Platform Engineer
Engineer and maintain OCBC’s hybrid cloud data and AI platforms, including Cloudera CDP/CML, Hadoop, Spark, and AWS services like SageMaker and EKS.
Data Engineer for AI‑Driven Public Platforms
Design and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while integrating AI/ML capabilities to drive insights and decision-making for public officers and suppliers.
Senior Data Engineer (Networks)
Build and optimize data pipelines and applications for Singtel’s telecom networks using Hadoop, Spark, Python, and Airflow, and create dashboards with React or Angular.
Data Engineer: Cloud Data Lakes, MDM & Pipelines
Build and maintain cloud data pipelines and master data workflows using Hadoop, Spark, and MDM platforms to deliver reliable business insights.
Backend Engineer - Applied Machine Learning Platform Singapore Regular
Build and maintain ByteDance’s ML platform, handling data processing, model training, and deployment for large-scale deep learning systems powering ads and search.
Big Data Engineer - Data analytics Expert
Builds and optimizes Huawei’s big-data stack, ETL pipelines, and search/recommendation systems using Spark, Hive, Hadoop, and Python/Java/Scala.
Cloud Data Engineer
Designs and builds cloud data pipelines on AWS and Databricks, architecting storage solutions and optimizing ETL workflows for analytics and reporting.
Junior Data Engineer
Builds and maintains big-data pipelines using Hadoop, Spark, Hive, and SQL to transform raw data into analytics-ready datasets.
M22 - Data Engineer
Design and maintain scalable data pipelines, ETL processes, and data warehouses using Python, SQL, and cloud tools to support analytics and business intelligence for enterprise clients.
Data Engineer
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.
Backend Engineer - Business Security Data Platform (2027 Graduate)
Builds and maintains backend systems for Shopee’s anti-fraud and data security platforms, using Go/Java/Python and big-data tools like Spark/Flink to support risk analysis and model training.