Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and maintain IBM’s Quantum Software data lake, designing scalable pipelines and orchestration workflows to power analytics and insights for quantum computing.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, SQL, and dbt to turn raw data into business insights for clients.
Build and scale high-throughput data pipelines and AI-driven marketing infrastructure for a global travel subscription platform, using Python, SQL, dbt, Dagster, and Google Cloud.
Build and maintain cloud data pipelines in Python, using AWS services and IaC to ingest, process, and model data for analytics and operations.
Design, build, and scale a cloud data platform using Snowflake, dbt, Dagster, and AWS to improve data quality, performance, and governance while optimizing cloud costs.
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.
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.
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.
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.
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.
Build secure, scalable data infrastructure for AI-driven semiconductor manufacturing, including ETL pipelines, data lakes, and governance for sensor and process data.
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.
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.
Build and secure data infrastructure for AI-driven semiconductor manufacturing, including ETL pipelines, data lakes, and governance for LLM applications.
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 builds scalable Snowflake pipelines and reusable ingestion frameworks for a fast-growing digital bank, optimizing cost and reliability across Singapore and Indonesia.
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.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, and SQL to turn raw data into business insights for enterprise clients.
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.
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.
We couldn't check your fit for this role — add a CV to your profile to see it next time.