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 run a cloud-based data lakehouse platform for a fintech client, automating deployments, monitoring performance, and optimizing queries with tools like Dremio, Spark, and Terraform.
Build and enforce data-governance policies for a large organization, ensuring data quality, security, and regulatory compliance while bridging business and IT teams.
Associate Director leading delivery of large-scale Data Engineering programs at Sigmoid, a Sequoia Capital-backed data solutions firm. Oversees end-to-end execution of data pipelines, cloud migrations, lakehouse implementations, and real-time processing solutions across multiple client engagements. Requires 15+ years in project delivery or Data Engineering, with US/global client exposure and techn
Build and maintain scalable data pipelines, cloud-native platforms, and GenAI services using Python/Java, Spark, Databricks, Snowflake, Kubernetes, and LLM frameworks like LangChain.
Designs and evolves a corporate Lakehouse platform on OpenShift for Spark and Flink, ensuring security and reliability while profiling batch and streaming workloads.
As an Enterprise Architect – Data & AI , you will play a key role in shaping and delivering high-value architecture engagements for our clients. You will be responsible for defining target architectures, leading…
Design and lead enterprise-scale Data, AI, and Generative AI solutions for Malaysian enterprises and public-sector clients, including cloud-native architectures and MLOps/LLMOps pipelines.
Location: Kuala Lumpur Contract: 12 month extendable (can convert to perm later) Salary: MYR 15,000 - 22,000 per month Experience: 3-10 years We are hiring 4 Forward Deployed Data Engineers to join a major data…
ONL Biz Solutions Sdn Bhd is seeking a senior data engineer to own end-to-end data pipelines and governance for a lakehouse platform. You will work with Iceberg tables on AWS, Spark/Flink processing, and a ClickHouse…
About the role This is a hands-on, senior individual-contributor role with a strong passion on building a possible vendor neutral lakehouse. You will own data pipelines end to end and build out the governance and…
Builds and optimizes scalable data pipelines using Microsoft Fabric, Azure Data Factory, and PySpark to power real-time analytics and reporting for a semiconductor firm.
Build and maintain scalable data platforms and pipelines using Snowflake, DBT Cloud, and Python/SQL to power AI/ML products and analytics for a global building-materials company.
Design and build Databricks Lakehouse architectures for AI and data pipelines, implementing Delta Live Tables, ETL tuning, and ML workflows while mentoring teams on governance and deployment.
In this role as the Senior Data Engineering Executive, you will design, build and operate QL Group’s enterprise data platform on Microsoft Fabric, delivering reliable, high-quality data that powers analytics, AI, and…
Build and maintain cloud-based data pipelines, lakehouses, and reporting systems using SQL, ETL/ELT, and tools like Databricks and Power BI to deliver scalable analytics for APAC business teams.
Designs and builds enterprise data pipelines using Microsoft Fabric, Azure Synapse, and Spark to power analytics and AI workloads in a cloud data platform.
About The Role We are looking for a Data Engineer – Platform & Analytics to join our regional edge platform data team supporting digital business across Asia-Pacific. This role sits within a technical team closely…
Build and optimize end-to-end data platforms using Microsoft Fabric, Azure Data Factory, and Power BI, then deliver AI-driven analytics and dashboards for enterprise customers across APAC.
Build and maintain governed data pipelines, semantic layers, and AI-ready datasets for a UK professional-services group, ensuring auditability, multi-tenant security, and regulatory compliance across subsidiaries.
Lead enterprise-scale data pipelines and AI integrations using Azure Databricks, PySpark, and SQL to build scalable lakehouse architectures and streaming workflows.
We couldn't check your fit for this role — add a CV to your profile to see it next time.