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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.
Data Engineer in Singapore who designs, builds, and enhances an enterprise data and BI platform, owning data architecture, modeling, ETL pipelines, analytics, and visualization. Core stack includes Python/SQL, ETL tools like Airflow or Talend, and cloud platforms such as Azure, Databricks, Snowflake, and Kafka.
A lead data engineer role in Singapore managing day-to-day BAU data platform operations, production support, and a team of data engineers, while designing AWS-based data architecture. Core technologies include AWS (S3, Glue, DMS, MWAA, IAM), Snowflake, Airflow, SQL, Python, and PySpark.
Hands-on technical lead who designs, builds, and maintains production PHP/Laravel applications, REST APIs, and AWS infrastructure for Smile's dental insurance platforms, delivering full-stack features, automated testing, and analytics/growth integrations in a 100% remote, high-ownership team.
Accenture's Data & AI team in Singapore is hiring full-stack engineers across seniority levels to design, build, and maintain applications that integrate and fine-tune Large Language Models. Day-to-day work spans front-end and back-end development (React/Angular, Node.js/Python/Java/.NET), AI/ML model integration with TensorFlow/PyTorch, data pipelines, and cloud deployment on AWS, Azure, or GCP,
A data engineering and analytics role in Singapore (open only to Singapore PRs and citizens) requiring 2-4 years of hands-on experience. Day to day involves extracting and manipulating data with SQL, programming in Python (or R), and building analyses and visualizations in tools like Databricks, Power BI, and Looker.
Full stack .NET developer building and supporting scalable, secure enterprise applications end to end: C#/.NET 6+ backends with ASP.NET Core Web APIs, and React (TypeScript) frontends, working in Agile teams with TDD and CI. Experience in regulated environments like banking is valued; role is based in Singapore.
Builds and maintains data ingestion pipelines and Python backend services for a large-scale enterprise data platform, including production monitoring, troubleshooting, and release support. Core stack is Python, SQL, Snowflake, and Databricks, with occasional after-hours incident support.
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