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 secure, scalable cloud data pipelines and platforms using Azure, Databricks, PySpark, and Kafka to power analytics and AI.
Build and own scalable data pipelines and analytics infrastructure for a global crypto exchange, using SQL, Python, GCP/BigQuery, and dbt to deliver clean, reliable datasets for business insights.
Build and maintain scalable data pipelines and models using Azure Data Factory and SQL Server to support analytics and reporting for a global investment advisory firm.
Build and deploy SAP Analytics Cloud Planning solutions, integrating data and scripting complex models while applying DevOps practices for finance-focused planning workflows.
Designs and manages enterprise-scale data architectures for a major defence shipbuilder, ensuring secure, reliable data flows aligned with naval shipbuilding programs and compliance requirements.
Designs and builds scalable Azure-based data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to power analytics and reporting for enterprise clients.
Designs and implements cloud-native data pipelines on Databricks and Azure, building scalable data lakes for analytics and ML workloads.
Senior Data Engineer builds and maintains scalable data pipelines and platforms to process structured/unstructured data, enabling analytics and insights for mission-driven projects like fraud detection and healthcare research.
Build and optimize PySpark-based ETL pipelines on Databricks, refactoring legacy code and ensuring scalable, high-quality data flows for enterprise clients.
Build and deploy AI, data pipelines, and analytics solutions for enterprise clients in APAC, bridging business needs with production-ready GenAI, RAG, and data platforms.
Build and maintain scalable data pipelines and platforms for analytics and AI in healthcare and public-sector projects using Python, SQL, and cloud tools like AWS/Azure/GCP.
Designs and maintains scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Build and scale a modern data platform for a MAS-licensed fintech bridging fiat and digital payments, designing pipelines, warehouses, and analytics to support cross-border transactions and business growth.
Builds and maintains scalable ETL/ELT pipelines in Python, PySpark, and SQL to feed enterprise analytics and reporting for a regulatory technology company.
Build and optimize data pipelines using PySpark and Databricks to process large-scale datasets, ensuring performance and reliability for analytics and AI workloads.
Build and own the Snowflake/dbt pipeline that powers Sovos’ US financial close, transforming billing, revenue, and deferred-revenue data into trusted outputs for finance and AI consumers.
Build and scale Snowflake-based data pipelines and warehouses that power business decisions, using Python, SQL, and orchestration tools like Airflow.
Senior backend engineer building and optimizing a distributed SQL query engine in Java/C++ for a large-scale data lakehouse platform used by Fortune 500 companies across finance, energy, manufacturing, and logistics.
Senior системный аналитик проектирует и интегрирует data-платформенные решения для HR-аналитики и AI-агентов, включая ETL-пайплайны, хранилища и API.
Designs and governs enterprise data models, pipelines, and integration patterns to power analytics and business capabilities using cloud platforms and modern data stack tools.
We couldn't check your fit for this role — add a CV to your profile to see it next time.