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.
Data Engineer designing and developing ETL/ELT pipelines, setting up data warehouses and lakes, and maintaining data infrastructure using Kafka, DBT, Spark, Snowflake, GCP, Azure, Kubernetes, and Airflow.
Data engineering consultant at Zenika (ESN) designing and maintaining data pipelines, evolving architectures to cloud (GCP/Databricks), mentoring clients, and participating in discovery phases—using Python, SQL, DBT, Airflow, Spark, and Terraform.
Senior Data Engineer responsible for developing and evolving Data platforms, building Talend-based ETL pipelines, optimizing SQL for a Data Warehouse and Actuarial base, and ensuring data quality — on-site in Paris.
Build and maintain data pipelines for a banking team using Spark and Cloudera, ensuring reliable batch and real-time data flows for regulatory reporting.
Data Engineer working on data integration and analysis projects, building ETL pipelines and Java-based solutions in Hadoop/Cloudera environments for a Rennes-based agency.
Data Engineer designing optimized architectures, building real-time data ingestion pipelines with Kafka and Snowpipe, and modeling data using Star Schema, DataVault, and DataMesh in a Snowflake-focused DataOps environment.
Designs and deploys scalable ML models for enterprise clients, collaborating with data teams to operationalize AI solutions in production environments.
ML/Data Engineer building and industrializing AI/ML forecasting solutions for supply chain clients at a Paris-based consulting firm, using AWS (ECR/EKS), CI/CD pipelines, and MLOps practices.
Build and maintain on-prem data pipelines for AI workloads handling images, video, and time-series data in an offline-first, air-gapped environment.
Design and develop data products from infrastructure scans (BMC Discovery) using Starburst and Open Data, transforming data into usable views for IT, production, and security teams on a 3-year freelance mission.
Build and maintain data pipelines for a private wealth management bank, moving data from Azure Blob to Snowflake with dbt and SQL, ensuring clean, reliable datasets for reporting and analytics.
Designs and optimizes data pipelines on Azure Lakehouse for analytics and AI, focusing on performance, quality, and AI-assisted development practices.
Design and develop scalable data pipelines and dashboards using Airflow, dbt, and GCP to support business intelligence and decision-making at a payment company.
Data Engineer building Big Data pipelines, streaming solutions, and Datalake/NoSQL environments using Apache Spark, Kafka, and Databricks at a European parcel delivery leader.
Build data architectures and ETL/ELT pipelines using Python, SQL, and Spark at Sogeti's Aix-en-Provence office, collaborating with business and IT teams.
Designs and builds data pipelines and ETL processes, collaborates with teams to gather requirements, and ensures data solutions meet business needs.
Senior Data Engineer joining a 10-person BI team at HiPay to design, build, and optimize data pipelines and data-viz components on GCP (BigQuery, Cloud Run) using Python, SQL, Airflow, dbt, and Looker.
Builds and maintains data pipelines, warehouses, and lakes; designs data architectures; ensures data quality and reliability for business use cases using Python, SQL, and cloud platforms.
Design, develop, and optimize AWS data pipelines using services like Glue, S3, Redshift, Athena, EMR, and Kinesis, with SQL and PySpark, to deliver reliable datasets to analysts and scientists.
Design and optimize data pipelines on the AWS ecosystem, integrating varied data sources and applying AWS services to ensure reliable, secure data.
We couldn't check your fit for this role — add a CV to your profile to see it next time.