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Builds and operates production logging, telemetry, and data-platform capabilities across AWS/Azure and hybrid on-prem environments. Day to day involves data ingestion, routing, indexing, and search plus automation via Terraform/OpenTofu, Ansible, GitLab CI/CD, and Python/Docker. Based in Singapore.
Senior Data Engineer at OCBC Bank in Singapore designing cloud-native data pipelines and lakehouse solutions with Apache Iceberg, Spark, and PySpark. The role involves migrating legacy workloads to cloud-native architectures, enabling scalable real-time analytics, and building automation, data quality checks, and monitoring with Open Metadata governance.
Senior Data Engineer at fashion retailer CHARLES & KEITH GROUP in Singapore, designing, building, and optimizing scalable data pipelines and analytics solutions on Alibaba Cloud. Core stack is Hologres, MaxCompute, and DataWorks, with technical leadership and mentoring of junior engineers.
Senior data engineer designing, building, and maintaining scalable enterprise data pipelines, with a focus on cloud pipelines, CI/CD, and leadership. Day to day involves Python and SQL development alongside cross-functional teams using NumPy, pandas, Selenium, AWS S3, and Azure Databricks.
Lead data engineer role in Singapore overseeing BAU data operations and building scalable pipelines across the data lake and warehouse, while partnering with stakeholders and guiding migration to cloud-native tools. Core stack: SQL, Python, PySpark, AWS, Snowflake, Spark, Glue, and Airflow.
Cyber Data Engineer at Morgan Stanley in Singapore, strengthening APAC cyber engineering coverage by building and automating large-scale security analytics platforms that ingest, transform, store, and expose security event data for detection, investigation, and response. Focus areas: platform engineering, automation, data onboarding, troubleshooting, and operational resilience.
NSEARCH GLOBAL PTE. LTD. is hiring a Cloud Logging & Data Platform Engineer in Singapore to build and operate scalable, secure cloud logging/data platforms on AWS/Azure. Day to day involves IaC, CI/CD, hybrid environment integration, and using scripting and containerization to automate production workloads and data pipelines.
Design and build Spark-based ETL and data ingestion pipelines for a Quantexa demo environment, collaborating in technical workshops and supporting data loading for demonstrations. Core stack is Spark, data integration and data modelling, with Elasticsearch/OpenSearch and Python/Scala as pluses.
A senior data engineer who architects robust data infrastructure and builds scalable pipelines and data models that ensure data quality and accessibility. Day to day they partner with product, engineering, and GTM teams to deliver time-sensitive, accurate data solutions that drive strategic decisions.
Senior Data Engineer at minden.ai in Singapore who designs and implements a scalable data platform built on data mesh principles with a modern data stack — building and maintaining data pipelines from diverse sources, ensuring data quality and governance for analytics and product teams, and contributing CI/CD, testing and documentation.
A hands-on Senior Data Engineer on an initial six-month contract with a Singapore data consultancy, designing, building and operating end-to-end data pipelines and platform components in on-premise or hybrid environments, including data governance, metadata and lineage, using platforms like Databricks or Snowflake.
Senior data engineering leadership role at Temus, a Temasek-backed consulting firm in Singapore. The hire designs, deploys, and governs enterprise-scale data platforms, mentors a cohort of data engineers, and works with clients across sectors, using Snowflake, Databricks, and cloud ecosystems.
Recruitment firm ScienTec Consulting is hiring a Senior Data Engineer in Singapore to design, build, and maintain scalable data pipelines and cloud data platforms, supporting analytics, reporting, and BI. Core stack is Python, SQL, and AWS (S3, Lambda, Glue, Redshift, Athena), with Spark, Airflow, and Kubernetes preferred. Pay is up to $9,000/month basic plus AWS.
Lead a team of data engineers while designing data warehouse/data lake architecture and building ETL, ingestion and extraction pipelines. Day-to-day includes translating business rules into mappings, enforcing documentation and best practices, and occasionally building dashboards in Tableau or Power BI.
Software/big data engineer at CSIT (a Singapore government agency) building mission-critical, scalable, data-intensive web applications for national security. Day-to-day involves programming and web application development alongside a collaborative engineering team; a Computer Science background with 3+ years of experience is preferred.
Junior data engineer at Xiaomi's Singapore office supporting the overseas data warehouse: building and maintaining ETL/ELT pipelines for mobile, IoT and app data, then using data modeling and mining to deliver insights through analytics and Tableau or Power BI visualizations alongside cross-functional teams.
Data Platform Engineer in Singapore who designs, builds and operates scalable data and logging platforms, developing ingestion, streaming and pipeline solutions across hybrid on-premise and AWS/Azure cloud environments. Core tooling includes Terraform/OpenTofu, Ansible, CI/CD, Docker, and Python/PowerShell/Bash scripting.
Data Engineer at PERSOL Singapore will design, develop, and maintain scalable data solutions for data generation, collection, processing, and analytics. Day to day, they build production-grade pipelines and ETL/ELT processes using Databricks, PySpark, Python, and SQL, ensure data quality, and partner with cross-functional teams on dashboards and insights.
Singapore Airlines is hiring a senior data engineer to build open-source data ingestion and MLOps platforms: designing distributed data pipelines, deploying ML/DL models at scale, and operating a self-service data platform. Core tech includes Python, Airflow, Kafka/Kinesis, Spark, Databricks, and AWS data stores.
Senior Data Engineer at OCBC Bank in Singapore designing cloud-native data pipelines, lakehouse solutions with Apache Iceberg, and real-time Spark streaming systems, plus migrating legacy SQL workloads and implementing data governance/catalogue frameworks. Requires hands-on experience with Spark, PySpark, Python, SQL, and Linux on a major cloud platform.
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