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Data Engineer
Build and maintain a modern cloud data platform using Snowflake, AWS, dbt and Dagster to power analytics and business decisions for an Australian gaming systems provider.
Senior Software Engineer (Data)
Build and optimize distributed data pipelines using Scala/Java/Python, Spark, Kafka, and Delta Lake/Iceberg, then deploy them on GKE with Helm for AI-driven networking analytics.
Regional Data Engineer, Wholesale Banking Analytics
Builds and maintains data pipelines and architectures for regional wholesale banking analytics using Python, SQL, Hadoop, DBT, and Dagster to deliver analytics-ready data.
Software Engineer - Data Orchestration
Build and maintain Feedzai’s data orchestration platform, integrating diverse data sources and enabling real-time fraud detection for banks and retailers using Java, Kafka, and cloud-native services.
Data Engineering, Global Wholesale Banking - Data Analytics
Build and maintain regional data pipelines and ETL processes for OCBC’s wholesale banking analytics, using Python, SQL, Hadoop, and dbt to automate reports and dashboards.
Senior Data Engineer - Data Experience, Unified Platform
Build and govern DRW’s unified data platform, designing pipelines to ingest trading, research, and vendor datasets using SQL, Python/Java, and modern batch/streaming tech.
Senior Data Engineer, Unified Platform
Build and maintain DRW’s Unified Data Platform, designing pipelines to ingest trading, research, and back-office data using SQL, Python/Java, and modern batch/streaming tech.
Senior Data Engineer, Unified Platform
Build and govern data pipelines for a global trading firm, integrating vendor datasets and enabling traders and researchers with reliable, high-quality data products using SQL, Python/Java, and modern streaming/batch tech.
Senior Data Engineer
Builds and maintains data pipelines, warehouses, and LLM-powered APIs for an AI startup, using Python, SQL, Airflow, Snowflake/BigQuery, and cloud services.
Data Engineer (CDC & Legal ETL)
Builds and maintains CDC pipelines to sync Singapore’s legal data into a Neo4j knowledge graph, ensuring AI models stay current with statutory changes via automated ETL and validation.
Data Engineer - AVP/Manager
Design and build scalable cloud-native data platforms for a major bank, using Lakehouse architectures, real-time streaming, and AWS to deliver analytics-ready datasets.
Senior Data Engineer
Build and optimize distributed data pipelines and AI analytics for networking using Spark, Kafka, Delta Lake, and Kubernetes in a cloud-native environment.
Senior Data Engineer
Senior Data Engineer builds scalable Snowflake pipelines and reusable ingestion frameworks for a fast-growing digital bank, optimizing cost and reliability across Singapore and Indonesia.
Senior Data Engineer
Build and optimize data pipelines for a digital bank, focusing on reusable frameworks for onboarding sources and integrating data into Snowflake while ensuring quality and performance.
Data Engineer - AVP
Build and maintain data pipelines and ETL processes for a large bank, using Python, SQL, Hadoop, and DBT to enable analytics and reporting across Asia.
Senior Data Engineer
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Senior Data Engineer: Real-Time ELT & Data Vault 2.0
Builds modern ELT pipelines with dbt and Data Vault 2.0, runs Dagster workflows on OpenShift/Kubernetes, and processes streaming data with Kafka for near real-time analytics.
Senior Data Engineer — Remote & Flexible Hours, Data Platform
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas with DataOps practices.
Lead IT Data Engineer MXT
Lead the design of scalable, AI-powered data pipelines and lakehouse architectures for a global food manufacturer, optimizing cloud costs and enforcing governance across real-time streaming and ETL workflows.
Senior Data Engineer: Build Scalable Data Platform (Remote)
Architect and build scalable data pipelines and Snowflake warehouse schemas using Airflow/Prefer/Dagster, enforcing DataOps and software engineering best practices.