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 maintain data pipelines for geospatial, weather, and crop data to power DNEXT’s agricultural market intelligence platform.
Design and build scalable data pipelines and GenAI platforms on AWS, using Spark and modern data architecture to support analytics, AI, and Generative AI use cases.
Design and build scalable ETL pipelines and data models to improve data reliability and analytics for an ecommerce platform.
Build and maintain scalable AWS pipelines for single-cell transcriptomics data to support clinical-grade oncology diagnostics, collaborating with biologists and engineers.
Build and maintain robust data pipelines on Databricks, integrating diverse sources into reliable analytics-ready datasets using AWS, Spark, and Python.
Build and maintain data pipelines and features for quantitative trading models using Python, C++, and Spark, collaborating closely with researchers to automate data extraction and cleaning.
Build and maintain Databricks/Spark data pipelines for a client services team, collaborating with data science and BI groups.
Designs and maintains Azure-based data pipelines to ensure reliable, high-quality data flows for analytics and reporting.
Design and build scalable GCP-based data pipelines, lakes, and analytics platforms for enterprise clients, using Python, Spark, and BigQuery to enable data-driven decision-making.
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.
Design and build scalable data pipelines and cloud-based data platforms using PySpark, Snowflake, and Databricks to support AI and analytics initiatives.
Build and maintain scalable data pipelines using Spark, SQL, and NoSQL to process large datasets for client projects in a hybrid role based in Lyon.
Senior Data Engineer builds and maintains ETL pipelines, data warehouses, and cloud-based data platforms using Microsoft SQL Server, Talend, and BigQuery to support analytics and business needs.
Build and maintain scalable data pipelines and cloud infrastructure on GCP, using Python, SQL, Spark, and Terraform to support analytics and AI solutions.
Builds and maintains large-scale data pipelines and quality checks using SQL and Python in a collaborative product environment.
Build and optimize RAG pipelines: ingest, clean, and chunk documents; design vector databases and hybrid indexing; measure relevance and automate production workflows for AI assistants.
Design and deploy cloud data pipelines on Azure and AWS using Terraform, and build robust data models for an energy-sector client.
Build and scale data pipelines and AI workflows for insurance products using Python and AWS, focusing on backend engineering and data-intensive systems.
Lead a team to design and build scalable data pipelines using Spark, Kafka, and cloud platforms (Azure/GCP) while ensuring data quality and governance for analytics and AI projects.
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and datasets for analysts and scientists.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
