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 data platforms, ETL/ELT pipelines, and warehouses using Azure Data Factory, Databricks, and Python to enable data-driven decision-making for clients.
Builds and maintains data pipelines, APIs, and infrastructure on OpenShift Kubernetes using Python and TypeScript, implements CI/CD with GitOps, and explores generative AI applications.
Build and deploy AI models and data pipelines to analyze media performance and optimize client campaigns for WPP Media.
Design and build data pipelines and platforms for regulatory reporting in a bank using Azure Data Factory, Databricks, and Synapse.
Leads the build-out of a modern Databricks-based data platform for a large organization, collaborating with engineers and analysts to deliver analytics solutions.
Lead a team building production-grade data pipelines and integrations for an AI-driven data warehouse in a healthcare setting, using Python and modern web architectures.
Data Engineer Consultant builds and optimizes data pipelines using Databricks and Azure to integrate and consolidate data from multiple sources.
Designs and builds scalable data pipelines for identity systems using Python and SQL, ensuring privacy-compliant data handling and distributed processing.
Build and maintain AI/ML pipelines, transform data with Python/SQL/PySpark, and deploy LLMs using Databricks and MLOps/LLMOps practices.
Lead a team building data infrastructure for marketing technology and growth analytics at a major online classifieds platform.
Lead a team to design and build scalable Azure data pipelines and productionize ML models, using Databricks, Spark, Kafka and Python/Java.
Design and develop kinetic models to assess catalyst performance and support technical proposals for refineries and renewable fuel applications.
Leads a team building scalable data pipelines and infrastructure to optimize the Dutch electricity grid for the energy transition using Python, SQL, AWS, Kubernetes and MLOps tools.
Senior Data Engineer designs, maintains, and improves the data warehouse and platform, builds secure data pipelines, and enables reliable analytics for dashboards.
Builds and optimizes dbt-based data pipelines and analytics in Python for finance, retail, and risk teams on a cloud data platform.
Build and maintain data pipelines for AI/robotics, orchestrating video, audio, and sensor streams into structured datasets for ML training and cloud storage.
Build and maintain an Azure-based data platform for financial-market supervision using Databricks, SQL databases, and Azure Storage.
Designs and scales data pipelines using Microsoft Fabric, Spark, and ML-ready architectures, implementing CI/CD best practices and reproducible deployments for client projects.
Lead a team building and scaling data pipelines and warehouses for IQVIA’s Patient Finder product, ensuring reliability and governance while mentoring engineers.
Lead the design and scaling of a healthcare data platform using Prefect, Python, and SQL, while mentoring engineers and supporting AI/ML initiatives.
We couldn't check your fit for this role — add a CV to your profile to see it next time.