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 production-grade data pipelines that integrate operational systems (MES, historians, instruments) into a governed, analytics-ready foundation for biopharma manufacturing.
Designs, builds, and maintains Azure-based data pipelines and lakehouse architectures using Databricks, Synapse, and Data Factory to deliver clean, reliable datasets for analytics and AI.
Designs and builds scalable Azure-based data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to power analytics and reporting for enterprise clients.
Designs hybrid and multi-cloud architectures, modern data platforms, and cloud-native strategies for enterprise clients in finance, energy, and public sectors.
Build and maintain scalable data pipelines and platforms for analytics and AI in healthcare and public-sector projects using Python, SQL, and cloud tools like AWS/Azure/GCP.
Build and scale a modern data platform for a MAS-licensed fintech bridging fiat and digital payments, designing pipelines, warehouses, and analytics to support cross-border transactions and business growth.
Build and scale Snowflake-based data pipelines and warehouses that power business decisions, using Python, SQL, and orchestration tools like Airflow.
Senior backend engineer building and optimizing a distributed SQL query engine in Java/C++ for a large-scale data lakehouse platform used by Fortune 500 companies across finance, energy, manufacturing, and logistics.
Build and maintain REST APIs and microservices for AllianzGI’s risklab platform, supporting digital wealth management and quantitative investment advice using Python/C#, Azure, Docker, Kubernetes, and CI/CD pipelines.
Build and maintain scalable data infrastructure and AI-powered analytics platforms for a media company, designing data lakes, pipelines, and customer data products to drive data-driven decisions.
Обязанности: •Сопровождение и эксплуатация Data Lake платформ •Поддержка S3/Object Storage инфраструктуры •Мониторинг, диагностика и устранение инцидентов Troubleshooting производительности платформы и storage систем…
DevOps engineer maintains a Data Lake platform using MinIO/S3 storage, Kubernetes, and big-data tools (Spark, Airflow, Kafka) while automating ops and troubleshooting performance issues.
Analyze and interpret data to deliver insights using cloud-native platforms and advanced analytics for a data-driven business solutions provider.
Build and maintain scalable AWS-based data pipelines and analytics platforms using Python, PySpark, and medallion architecture to power Taylor & Francis’s media and publishing products.
Senior Data Scientist builds and deploys time-series forecasting and optimization models for energy markets, using Python, MLOps, and cloud tools to reduce costs and improve grid utilization.
Solution Engineer guiding enterprises to modernize data platforms using Microsoft’s cloud databases and analytics stack (Fabric, Azure Databricks, SQL DB, Cosmos DB) and AI integrations.
Build and maintain scalable Azure and Microsoft Fabric data pipelines and lakehouse/warehouse solutions to power generative AI, RAG, and intelligent agents for enterprise analytics.
Senior Data Engineer builds and optimizes cloud data pipelines (PySpark, Delta Lake, Azure Synapse) to modernize legacy financial analytics infrastructure and improve reporting reliability.
Build and maintain scalable data pipelines and ETL/ELT processes in Azure/AWS/GCP to power a new lakehouse platform for a large training group undergoing tech transformation.
Senior Data Engineer builds and maintains AWS-based data pipelines and cloud-native workflows to deliver trusted, scalable data solutions for product teams and analytics at a global telecom leader.
We couldn't check your fit for this role — add a CV to your profile to see it next time.