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.
Senior Data Engineer builds and maintains Snowflake-based ETL/ELT pipelines, data models, and REST APIs to consolidate finance data for forecasting and reporting in a regulated biotech environment.
Build and maintain scalable GCP data pipelines, ETL/ELT processes, and real-time data streaming solutions using BigQuery, Dataflow, and Pub/Sub.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, SQL, ETL tools, and Python/R for European clients.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Lead the design of enterprise-scale data platforms using Snowflake, DBT, and Data Vault 2.0, while establishing governance and enabling analytics and AI across EU markets.
Design and maintain Azure Data Factory pipelines, orchestrating ETL/ELT workflows and optimizing warehouse layers (Azure SQL/Synapse) for enterprise clients.
Design and build Snowflake data models and ETL pipelines using dbt and Data Vault, then optimize SQL for reliable analytics in a fully remote role.
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to power analytics and GenAI solutions for enterprise clients.
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Build and maintain scalable data pipelines and lakehouse architectures on Databricks, using SQL, Python, and dbt to deliver clean, governed data for clients in finance, government, and healthcare.
Design and maintain Azure Data Factory pipelines for ETL/ELT, orchestrating data flows between Azure SQL/Synapse and other sources while optimizing performance and collaborating with stakeholders.
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to deliver analytics-ready datasets for GenAI and business use cases.
Senior data engineer builds and optimizes ETL pipelines and data warehousing solutions for Credit and ESG systems using SQL, Informatica PowerCenter, and Oracle.
Design and maintain Azure-based security data pipelines, ETL processes, and analytics platforms to centralize and secure enterprise data across multi-cloud environments.
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Senior Data Engineer builds and transforms financial data pipelines for credit compliance systems, migrating legacy warehouses to Databricks and enabling analytics dashboards.
Build and maintain Azure Data Factory pipelines, orchestrate ETL/ELT workflows, and support Azure SQL/Synapse data warehouses for enterprise clients.
Senior Data Engineer builds and maintains data pipelines and models for a fintech platform, migrating legacy systems to Databricks and PySpark while ensuring regulatory compliance and delivering analytics dashboards.
Build and maintain Azure + Databricks pipelines that ingest, transform, and deliver trusted datasets for an automotive application using PySpark, Spark SQL, and Azure Data Factory.
We couldn't check your fit for this role — add a CV to your profile to see it next time.