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.
Leads AI data engineering and solutioning for Singapore’s Home Team, designing scalable data pipelines, ensuring governance, and optimizing AI model inputs while driving innovation in cloud/data technologies.
Design, build, and operationalize scalable data processing systems on Google Cloud Platform, turning raw data into actionable insights using Python/Scala/Java, BigQuery, and ELT approaches.
The Data Architect will design, build, secure, and monitor real-time and batch data processing systems using Google Cloud Platform services. The role focuses on creating scalable and reliable data pipelines to transform raw data into actionable business insights.
Design and operate scalable, secure data processing systems on GCP, building large-scale batch and real-time ELT pipelines with BigQuery and Dataflow using Scala, Java, or Python.
The Senior GCP Data Architect & Engineer will design, build, and monitor data processing systems using Google Cloud Platform tools. The role focuses on transforming raw data into actionable business insights through scalable, real-time ELT pipelines.
The Data Architect will design and maintain scalable, secure batch and streaming data pipelines on Google Cloud Platform. The role involves transforming raw data into actionable insights while ensuring system reliability and compliance.
This role involves developing a business platform using Vue 3, Python, and FastAPI while managing a cloud migration from GCP/Kubernetes to Azure. The engineer will work on data pipelines, integrations, and secure authentication in a collaborative, cross-functional environment.
Data Engineer/BI Developer building ELT pipelines and migrating data from legacy systems to new architectures, working with SQL, dbt, BigQuery, and Airflow.
Freelance Data Engineer / BI & ETL Developer building modern ELT data pipelines and migrating legacy systems to new architectures using SQL, dbt, BigQuery, and Airflow within a team.
Senior Cloud Data Engineer designing and implementing data pipelines on Google Cloud using BigQuery and Dataproc, building RESTful services and data models while collaborating with data scientists and product teams.
Designs and maintains cloud-based data pipelines and infrastructure on Google Cloud, transforming raw data into actionable insights for media products. Core tech: Python, SQL, BigQuery, Dataproc, Kubernetes, and AI/ML tools.
The Lead Data & AI Engineer will design and maintain the data foundation for a group of over 40 companies, enabling both reporting and the deployment of AI agents. The role involves building ELT pipelines, managing data models in Google BigQuery, and integrating diverse ERP systems using Python and dbt.
This role involves building and maintaining scalable data pipelines using Java, Scala, and big data frameworks like BigQuery and Apache Spark. The engineer will collaborate with data science teams to support machine learning and AI initiatives within a high-performance marketing platform.
This Data Engineer role involves building and maintaining scalable data pipelines and architectures using DBT, SQL, and GCP within a retail environment. The engineer will collaborate with data scientists to support analytics and machine learning projects while ensuring high technical standards.
The Data Engineer will manage and scale the company's data platform, building robust pipelines and automating data processes using Python, SQL, and modern tools like GCP, BigQuery, and dbt. This role involves collaborating with cross-functional teams to ensure high data quality and accessibility across the organization.
This Data Engineer role involves building and maintaining scalable ETL/ELT pipelines using Informatica, Google BigQuery, and Python. The position focuses on optimizing data workflows, managing cloud datasets, and automating operational tasks in a 12-month contract capacity.
Build scalable ETL/ELT workflows, manage BigQuery datasets, and write optimized SQL, along with developing Python scripts and automating batch workflows in on-prem and cloud environments.
Analytics Engineer III building dbt models, SQL transformations, and Omni BI dashboards to surface insights on arbitration risk and product initiatives for an online used-vehicle marketplace.
GCP Data Engineer (hybrid in Kitchener) designing and building scalable data pipelines, ETL/ELT workflows, and data ingestion frameworks using BigQuery, Dataflow, Cloud Composer, Dataproc, Python, and SQL.
The Senior Data Engineer will design and build the company's data platform, including pipelines, data models, and orchestration systems. The role focuses on scaling data infrastructure using Python, SQL, and cloud-based data warehousing technologies.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
