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 Databricks-based data warehouse and real-time pipelines for a financial trading business, modeling trades, positions, and market data.
Build and maintain scalable data pipelines and infrastructure using Databricks and AWS to power analytics and reporting for Singapore’s global network ecosystem.
Build and maintain scalable data pipelines and infrastructure to support TikTok’s global e-commerce risk-control platform, ensuring data integrity for fraud detection and business strategy.
Build and maintain scalable data pipelines and warehouses to power analytics and ML for a social-media company.
Lead a small team to design, build, and scale cloud-based data pipelines and platforms using Python, SQL, and tools like Airflow, Spark, and Snowflake for reliable, ML-ready data.
Designs and maintains scalable cloud data pipelines and warehouses using SQL, Python, and cloud platforms to enable reliable analytics and business insights.
Build and maintain scalable data pipelines and warehouses for analytics and ML using Python, SQL, Spark, and cloud tools.
Builds and maintains full-stack integrations and APIs using Java, Python, React, and Node.js, connecting multiple systems via REST/GraphQL and event-driven pipelines.
Build and maintain cloud-based data pipelines and integrations for a UK professional-services group, using Azure, Python, and SQL to standardize and deliver data for reporting, analytics, and AI.
Build and maintain ETL/ELT pipelines and data processing systems using Python, SQL, Apache Airflow, and dbt.
Build and maintain scalable ETL/ELT pipelines, optimize data warehouses, and deploy ML models on Google Cloud Platform using Python and SQL.
Designs and maintains ETL/ELT pipelines, manages databases, and deploys ML models using Python, SQL, and GCP services.
Designs and maintains data pipelines, warehouses, and lakes, ensuring data quality and performance while collaborating with analysts and engineers.
Middle Software Engineer builds and optimizes a distributed SQL query engine for a large-scale data lakehouse platform, using Java/C++ and cloud-native tools to process analytical workloads across heterogeneous data sources.
Build reusable ETL/ELT components and automation for a cloud-based data platform using Terraform and Scrum workflows.
Build reusable data-platform tools and automation on Microsoft Azure (Databricks, ADLS, AI Foundry) using Python, Terraform, and GitHub workflows to support the wider data engineering team.
Build and maintain ETL/ELT pipelines and modern data platforms using Azure services, Databricks, and PySpark.
Designs and maintains BI/data-warehouse solutions on Databricks, writes SQL/Python pipelines, and optimizes ETL/ELT for business analytics in a product-focused team.
Build and maintain scalable data pipelines on Azure and Databricks, using PySpark, SQL, and ETL/ELT processes to support analytics and reporting.
Builds and maintains data pipelines and warehouses using Databricks, SQL, and Python/Scala to enable analytics and reporting.
We couldn't check your fit for this role — add a CV to your profile to see it next time.