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.
Lead a team building and optimizing large-scale marketing analytics pipelines on AWS, designing ETL workflows with Airflow and S3-backed data lakes for near-real-time processing.
Lead a team to build and maintain S3-backed data pipelines and real-time analytics for an AI-driven marketing platform using Airflow and AWS services.
Owns and scales the data pipeline for a marketing analytics platform, designing OLAP workloads on S3, managing ETL with Airflow, and leading a team of senior engineers on AWS.
Lead a team building and optimizing an S3-backed OLAP pipeline for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Lead a team to build and maintain ETL pipelines and analytics infrastructure for a marketing analytics platform using AWS, Airflow, and OLAP tools.
Build and maintain scalable data pipelines and warehouses using SQL, Python, Snowflake, and ETL/ELT tools for finance-focused clients.
Builds and maintains cloud-based data pipelines and SQL models on GCP, using BigQuery, dbt, and Airflow to support data-driven business processes in an international agile team.
Build and own Viktor’s data warehouse, ETL pipelines, and BI dashboards in ClickHouse, Python, and Hex to power growth, pricing, and unit-economics decisions for this AI teammate product.
Build and orchestrate autonomous AI agents that reason, plan, and execute workflows using Hermes Agent and MCP, integrating tools and memory systems for production-grade applications.
Senior data engineer designs, builds, and maintains scalable ETL pipelines in Python/Java and SQL, ensuring reliable data flows for global enterprise projects.
Designs and maintains scalable GCP data pipelines and warehouses (BigQuery, Dataflow) to feed analytics and ML, using SQL, Python, Airflow, and Kafka.
Design and maintain scalable ETL pipelines, data warehouses, and real-time streaming solutions using SQL, Python, and cloud platforms like AWS/Azure/GCP.
Design and maintain scalable data pipelines and infrastructure using Spark, Kafka, and cloud tools to process large datasets for enterprise clients.
Build and maintain scalable data pipelines and warehouses for analytics and ML, integrating multiple sources using Python, SQL, and cloud tools.
Build and maintain data pipelines for financial analytics in a gaming company, ensuring reliable real-time and batch processing for payments and reporting using SQL, Python/Java, and streaming tools like Kafka.
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.
L’IA chez Smile, ce n’est pas un buzzword : c’est une pratique. Des modèles et des cas d’usage ouverts, performants et durables, pensés pour passer en production — pas des PoC qui finissent au tiroir. On bâtit sur des…
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.
Senior developer building scalable rail-signalling software in Python/Java/Spring Boot, mentoring juniors, and overseeing external suppliers to deliver safe, compliant rail systems.
Senior ML Engineer builds and deploys geospatial AI models on Ray Serve and AWS, turning large datasets into real-time risk scores for insurance applications.
We couldn't check your fit for this role — add a CV to your profile to see it next time.