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Internship in Singapore supporting Sembcorp's data engineering and AI initiatives: maintaining scalable batch and real-time streaming data pipelines, integrating data from APIs, IoT sensors and streaming platforms, and building ML pipeline components on Azure cloud for renewable analytics and AI-assistant data platforms.
A data/AI engineer role at EtonHouse in Singapore: build Generative AI features using Azure OpenAI and RAG, work with project data in Python and SQL, and build simple ETL pipelines. Also creates Power BI dashboards, deploys with Docker/Terraform, does API integrations, and tests output quality with a focus on privacy compliance.
Vistra is hiring a Machine Learning Data Engineer in Singapore to design, fine-tune, and deploy ML models and AI-driven document-processing data pipelines on AWS Bedrock for corporate secretarial and accounting use cases. The role spans end-to-end MLOps, requiring ~5-7 years of AI/data engineering experience, Python/Node.js, ETL expertise, and strong mathematical foundations in model training.
Data Engineer / Assistant Manager at synapxe (Singapore's national HealthTech agency) shaping and running the TRUST national healthcare data platform: translating analytics needs into data strategy, overseeing anonymised dataset provisioning, and implementing common data models and quality programmes. Core tech: ETL, cloud (AWS), SQL/NoSQL, big data, and healthcare data modelling (e.g. OMOP CDM).
An algorithm data engineer at Shopee building feature platforms/feature stores, high-quality offline and real-time datasets, and experimentation pipelines that power e-commerce algorithm teams. Core work spans big data processing with Spark, Flink, Kafka, ClickHouse and programming in Python, Java, Scala, or SQL.
AI Data Engineer in Singapore designing and owning end-to-end AI-driven data pipelines on AWS (Bedrock) for corporate secretarial and accounting document processing. Day to day: fine-tuning and deploying ML models, building multimodal pipelines, and applying MLOps practices with Python, ETL/ELT, and AWS services.
NTT Data Asia Pacific is hiring Data Engineers (Junior, Senior, and Lead) in Singapore on a 1-year renewable contract. The role focuses on designing and optimizing ETL/data pipelines using Informatica/IDMC and Databricks with Python, plus AWS Cloud and Tableau/OAS for visualization and reporting.
Designs, builds, and optimizes scalable ETL/ELT data pipelines, data models, and data warehouses using Python, PySpark, and SQL, while tuning Spark jobs, integrating data from APIs, databases, and cloud storage, and ensuring data quality, governance, and performance.
Data engineer on Shopee's Marketplace App & Mobile team, building and optimizing the mobile data warehouse with real-time and offline ingestion, modeling, and governance. Works with Spark/Flink/Kafka/ClickHouse-style big data tools and Java/Scala/Python/SQL to power app analytics, A/B testing, and user behavior tracking.
Builds and maintains real-time and batch data pipelines processing 1.6-2 billion clickstream events per month for SPH Media's digital platforms, powering audience insights for product and business teams. Core stack: Apache Flink, Kafka, Iceberg/Paimon, and AWS (S3, Athena, EventBridge, Lambda).
Data Engineer building the compliance 'trust layer' of a fast-growing AI company's data infrastructure in Singapore: designing data masking/anonymization pipelines, profiling and classifying sensitive datasets, and translating regulations (GDPR, PDPA, SOC2) into technical controls using SQL, Python, Spark, Airflow, Kafka, and Hive.
Freelance data engineer who designs, builds, and maintains ELT pipelines in a cloud environment using Snowflake, Airflow, PySpark, AWS, Fivetran, and dbt. Day to day involves monitoring data quality and reliability, supporting legacy-to-cloud migration, and collaborating with BI and architecture teams.
Senior data engineer/architect at Zurich Insurance in Singapore who owns end-to-end design, coding, and scaling of a next-generation Generative AI platform for multiple business lines. Hands-on work building batch/streaming pipelines, RAG services, and LLMOps on Azure/AWS using Python, Docker, Terraform, and vector databases.
Builds and optimizes GetGo's modern data infrastructure on Databricks — designing lakehouse architecture, data pipelines, data quality frameworks, and monitoring tools to power analytics for teams like BI, Marketing, and Finance. Core stack: Databricks, Spark, Python, and SQL, with exposure to AWS and geospatial tools.
Hands-on data engineering role building and operating a Unified Namespace (UNS) using Litmus UNS as a central MQTT data broker, connecting OT systems (PLC, SCADA, MES, historians) with IT/analytics consumers for a global manufacturing client across APAC. Core tech: Litmus UNS/Edge, MQTT, real-time streaming, data modelling and governance.
Designs, builds, and maintains data architecture for Singapore's Department of Statistics: building data models and pipelines, integrating diverse data sources, adopting ELT/ETL tools, and automating statistical scripts. Core stack is SQL/relational databases and Python, with cloud and big-data skills a plus.
A Singapore-based Data Engineer role centered on privacy-compliant data handling: inspecting, classifying, masking, and anonymizing sensitive regional datasets before ingestion, then maintaining clean, auditable datasets for analytics using SQL, Python, Spark, Airflow, Kafka, and Hive under frameworks like PDPA and GDPR.
Design, build, and operate enterprise-scale data platforms and end-to-end pipelines that power analytics, reporting, and machine learning on EPAM's Global Data Platform. Core stack includes Spark, Kafka, Trino, Hive, S3, MinIO, and Kubernetes.
Founding analytics/data engineer at HeyMax, a fintech-travel rewards startup in Singapore, who will architect the company's data platform from scratch — building pipelines and models with BigQuery, dbt, Airbyte, and orchestration like Airflow/n8n, writing SQL and Python, and defining the metrics that drive the business.
Data Engineer at a Singapore software consultancy serving gaming, gambling, blockchain and government clients. Day to day: build data architectures, pipelines and warehouses, clean and organize data, and tune Oracle SQL/PLSQL using Python, AWS (EC2, S3, EMR, Redshift, Athena, Kinesis) and Kubernetes-based DevOps. Hybrid role, CBD office.
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