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 cloud data pipelines on AWS, transform data in Snowflake with dbt and PySpark, and deliver analytics for regulated industries like banking and healthcare.
Build and optimize scalable data pipelines and warehouses using SQL, ETL/ELT, and cloud platforms to power analytics and BI for a growing product team.
Design and build modern cloud-native data platforms for national security programs, using AWS/Azure, Spark, Databricks, Kafka, and ETL/ELT pipelines to support AI and ML workloads.
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Principal Data Engineer builds and leads a scalable data platform at an e-commerce photo-products company, focusing on trustable, decentralized data adoption and AI-driven customer experiences.
Senior Data Engineer builds scalable Azure-based data pipelines and Power BI semantic models for a UK plant-hire firm, focusing on telematics, ERP, and IoT data to improve operations and reporting.
Design and build scalable Azure data pipelines, migrate legacy systems to the cloud, and optimize ETL/ELT processes using Databricks, PySpark, and Azure Data Factory.
Lead a config-driven data platform that ingests, transforms, and delivers paid-media data from 26+ ad platforms into BigQuery using dbt, Python, and GCP.
Principal Data Engineer designs and maintains secure, scalable data platforms and pipelines for Defence/Aerospace programmes, using cloud-native tech and DataOps to enable analytics and digital transformation in regulated environments.
Build and maintain Azure-based data pipelines, lakes, and warehouses, and deliver Power BI reports to support scalable analytics and business intelligence.
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Design and maintain data models, ETL pipelines, and warehouses in Python/SQL to support audit and risk analytics for financial clients.
Leads data-engineering engagements for clients, designing cloud data platforms (AWS/Azure/GCP), building ETL pipelines, and coaching teams while advising on governance and modernisation.
Principal Data Engineer builds and leads data pipelines and foundations using Databricks, PySpark, Python and SQL to enable an energy trading company to extract value from data.
Senior role building and governing production-grade ML workflows on Databricks and Azure ML, using MLflow for tracking and CI/CD pipelines to safely move models from experimentation to production.
Builds and maintains Azure-based data pipelines and ELT/ETL processes using Azure Data Factory, Synapse, and Fabric to deliver clean datasets for analytics and reporting.
Build and optimize Azure-based ETL pipelines with Databricks and Spark, migrate SSIS to cloud, and design secure data lakes for analytics and reporting.
Build and maintain scalable data pipelines and storage systems to power fraud detection, analytics, and reporting using Python, SQL, and orchestration tools like Airflow.
Build and maintain scalable data pipelines and warehouses for a fast-growing InsurTech, using cloud platforms and ETL tools to deliver clean, reliable data for analytics and business decisions.
Design and build cloud data pipelines using Azure Data Factory, Synapse Analytics, and SQL Server to support analytics and AI across complex infrastructure programmes.
We couldn't check your fit for this role — add a CV to your profile to see it next time.