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 optimize Snowflake-based data pipelines with dbt, writing complex SQL to feed analytics and BI for a large client in Île-de-France.
Build and maintain scalable data pipelines on GCP using BigQuery, Dataflow, and Cloud Composer, and implement ETL/ELT with DBT and Python.
Build and maintain scalable data pipelines (ETL/ELT) using Python, SQL, Spark, and Airflow to feed BI, analytics, and data science teams.
Senior Data Engineer builds and maintains Matillion ELT pipelines feeding Snowflake, transforming raw data into analytics-ready models across multi-layer data architecture.
Build and maintain scalable data pipelines on Microsoft Azure and Databricks using PySpark, SQL, and CI/CD, while collaborating with cross-functional teams to deliver end-to-end data solutions.
Design and maintain robust data architectures for a Mexican energy company, ensuring data quality, integration, and governance to support operational efficiency and decision-making.
Build and maintain robust data pipelines (ETL/ELT) on cloud platforms, ensuring data quality, security, and governance while collaborating with data scientists and analysts.
Build and maintain secure data pipelines for insurance projects using SQL, NoSQL, ETL/ELT tools, Spark/Hadoop, and streaming pipelines.
Designs and builds data pipelines for AI solutions, integrating ML models into batch and real-time data flows while ensuring quality and performance.
Design and maintain ETL/ELT pipelines ingesting SAP, Salesforce and internal data into PostgreSQL and DuckDB, ensuring data quality and traceability in a centralized, versioned platform.
Build and maintain robust data pipelines and cloud architectures (Azure/AWS/GCP) to enable analytics and AI use cases for enterprise clients, using Python, SQL, Spark, and tools like dbt and Airflow.
Build IoT data pipelines: design real-time data architectures, implement MQTT/Kafka brokers, optimize time-series storage, and create monitoring dashboards.
Build and optimize scalable data platforms, develop robust ETL/ELT pipelines, and mentor junior engineers using Python, SQL, Spark, and cloud tools like AWS/Azure/GCP.
Build and deploy modern data architectures (Snowflake + dbt) and ETL/ELT pipelines in Python/SQL, while mentoring peers and optimizing cloud costs for clients across France.
Build and maintain scalable data pipelines and warehouses for analytics, using cloud tools like AWS and Snowflake, orchestration platforms such as Airflow, and data modeling best practices.
Build and maintain cloud data pipelines, ETL/ELT workflows, and analytics models in GCP/BigQuery to power programmatic advertising and DOOH campaigns.
Build and optimize scalable data pipelines on Databricks and cloud platforms, transforming raw data into automated, production-ready analytics and AI infrastructure using Python, Spark, and IaC.
Build and scale cloud data pipelines for clients using Azure, AWS, or GCP, ingesting and transforming data with Spark, Airflow, and Kafka to make it analytics-ready.
Designs and maintains scalable AWS-based data pipelines for government intelligence programs, using ETL tools, Redshift, and Python to process large datasets securely.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
