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 Manager Data Engineer designs and maintains scalable data pipelines and warehouses for a global healthcare company, integrating SAP, Salesforce, and cloud platforms while ensuring data quality and governance.
Senior Data Engineer builds and maintains Snowflake-based data pipelines and ELT workflows using Python, DBT, and AWS to support analytics and data science teams.
Build and optimize ETL/ELT pipelines in Azure (Data Lake, Databricks, Synapse, Data Factory) to feed Power BI dashboards and support analytics for a global hotel group.
Designs and optimizes cloud-based ETL/ELT pipelines and data lakes using AWS, dbt, Airflow, and Terraform to deliver data products for analytics teams.
Build and evolve a data architecture using AWS, SQL, and Python, focusing on Lakehouse, ETL/ELT pipelines, and governance for AI-driven marketing, development, and cybersecurity projects.
Build and maintain scalable cloud data pipelines using AWS, Snowflake, dbt, and Airflow to power analytics and business intelligence for a pharma-sector client.
Build and optimize large-scale data pipelines using Scala/Spark and AWS to power analytics, ML, and reporting for a digital bank, ensuring reliable data flows for business decisions.
Builds and maintains ETL pipelines and data warehouses on GCP to power AI-driven marketing, using Python, dbt, Airbyte, and Airflow.
Build and maintain data pipelines in AWS (S3, Glue, Aurora, Neptune) to feed AI/ML applications, including RAG and semantic search, using Python and SQL.
Design and build secure, scalable ETL/ELT pipelines for large-scale data migrations using SQL, Python, and AWS in a fully remote role.
Build and maintain data pipelines in AWS (S3, Glue, Aurora, Neptune) to feed AI/ML applications, using Python, SQL, and graph queries for RAG and semantic search solutions.
Builds and maintains scalable data pipelines and ETL/ELT workflows on Google Cloud Platform, focusing on AI/ML integrations using Python and SQL.
Build and maintain data pipelines and AI solutions on Google Cloud Platform, integrating LLMs and automating workflows for cybersecurity projects.
Build and optimize Azure Synapse data pipelines and ETL/ELT processes, model data, and collaborate with business teams to deliver AI and analytics solutions.
Designs and optimizes cloud data pipelines using Snowflake, dbt, and advanced SQL for international projects, implementing ELT architectures and automated testing.
Designs and builds Azure Databricks Lakehouse data pipelines and ETL/ELT workflows using SQL Server, ensuring data quality and performance.
Senior Manager Data Engineer builds and maintains scalable data pipelines and warehouses for a global healthcare company, integrating SAP, Salesforce, and cloud platforms.
Senior Data Engineer at Deutsche Telekom designing and optimizing ETL/ELT pipelines in Databricks Lakehouse environments, leading technical teams, and collaborating with architects and data scientists.
Design and build ETL/ELT pipelines on Google Cloud Platform, focusing on BigQuery, using Python, SQL, Spark, Airflow and DevOps practices.
Build and maintain scalable ETL/ELT pipelines and data platforms using Databricks, PySpark, Python and SQL to deliver clean, reliable data for analytics and AI workloads.
We couldn't check your fit for this role — add a CV to your profile to see it next time.