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.
Designs and builds scalable GCP data pipelines and warehouses, focusing on BigQuery, Dataflow, and Data Fusion to enable data-driven decisions and insights.
Build cloud-native Python services and data platforms that power AI-driven analytics, forecasting, and optimisation for Sky’s networks, using FastAPI/Flask/Django, GCP, Docker, and Kubernetes.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines across GCP, AWS, and Azure while embedding governance, quality, and security controls.
We’re a fast-growing AI Personalization startup working with leading brands in Israel and the US, backed by top a16z, and top Silicon Valley VCs. Our platform helps brands uncover conversion leaks and deliver…
Build and maintain Ebury’s analytics platform using Sigma, dbt, and BigQuery to empower data analysts with self-service, governed BI tools and trusted insights.
Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments…
Builds and maintains internal analytics pipelines (dbt/BigQuery), BI tools, and full-stack backend services for a circular logistics company, focusing on data quality, APIs, and operational tools while gradually expanding into frontend work.
Build cloud-native data platforms and MLOps workflows, designing ETL/ELT pipelines, data lakes/warehouses, and feature stores for AI/ML and analytics.
Lead end-to-end ML projects for clients, building and deploying production-grade models in Python, FastAPI, and cloud services while mentoring junior data scientists.
Build and deploy scalable data pipelines and models in GCP using Python and SQL, manage BigQuery infrastructure, and mentor teams to drive business insights from telco data.
Build and maintain scalable data pipelines and cloud infrastructure in GCP to support analytics, ML, and real-time personalization at a large retail company.
Builds and operates automation for a next-gen data platform, using Python, Kafka, and Kubernetes to improve reliability and observability, while integrating agentic AI for incident triage and proactive recommendations.
Build and automate ML pipelines on Google Cloud using Vertex AI, TensorFlow, and Kubernetes to deploy scalable AI models with CI/CD and monitoring.
About Flinks Flinks is the embedded finance platform that brings together connectivity, intelligence, and payments — giving businesses the infrastructure they need to build and deliver seamless financial experiences at…
Build and maintain data pipelines, ETL workflows, and dashboards to support AI product analytics and evaluation using SQL, Python, and modern data warehouses.
Build and own a structured research data platform for investment teams, ingesting and parsing documents (PDF, HTML, XBRL) and deploying LLM-powered query APIs on cloud data warehouses.
Designs and builds ETL/ELT pipelines, REST APIs, and web apps using Google Cloud, BigQuery, Airflow, Python, .NET, and React.
Senior Data Engineer builds and maintains scalable ETL pipelines and distributed data infrastructure using Python, Spark, AWS, and GCP.
Builds and maintains data pipelines, REST APIs, and web apps using GCP, BigQuery, .NET, Python, and React, with ETL/ELT and Cloud Composer workflows.
We couldn't check your fit for this role — add a CV to your profile to see it next time.