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.
Designs, builds, secures, and monitors real-time ELT systems on GCP to transform raw data into actionable business insights for decision-making.
Designs and builds big-data pipelines and architectures using Spark, Kafka, and cloud platforms, collaborating with teams to deliver scalable data solutions.
Designs and leads AWS-based data lake and pipeline architectures, collaborating with stakeholders to align technical solutions with business needs using cloud-native tools.
Builds and maintains AWS-based data lakes, pipelines, and monitoring stacks to enable analytics and ML; collaborates with stakeholders to define data workflows and cloud-native deployment best practices.
Builds and maintains scalable AWS data lakes, pipelines, and cloud infrastructure for analytics/ML, collaborating with analysts and architects to design data workflows.
Builds and maintains AWS-based data pipelines, transforming raw data into structured formats for analytics and ML models, using cloud-native tools and containerization.
Lutech SpA, nel contesto della practice Data Analytics, cerca un Data Engineer per progettare e realizzare soluzioni dati moderne nell ecosistema Microsoft Fabric e Azure, collaborando con referenti tecnici e business.…
Lead a small senior team to build and maintain WeRoad’s BigQuery warehouse, dbt transformations, and data pipelines while driving AI-driven improvements and governance.
Designs and maintains web (React) and mobile (React Native) apps with Python/Flask and PostgreSQL, focusing on scalable REST APIs; prefers AI/automation integrations and Agile delivery.
Builds and maintains AWS-based data pipelines, migrates infrastructure, and implements CI/CD/MLOps workflows for analytics and ML models.
Designs and builds AWS-based data pipelines, transforming and processing data for analytics and ML models while collaborating with stakeholders to define requirements and outcomes.
Designs and builds secure, scalable GCP data pipelines that turn raw data into business insights using batch and real-time processing.
Designs and builds cloud-native data lakes on AWS, handling data ingestion, transformation, and loading for analytics and ML pipelines.
Designs and implements large-scale data solutions using Spark, Kafka, and cloud platforms to manage, analyze, and visualize data for business intelligence projects.
Build and maintain AWS-based data lakes, pipelines, and serverless ETL workflows for analytics and ML models.
Designs and builds cloud-native data platforms on Azure to process raw data into actionable insights for analytics and ML, ensuring security, scalability, and reliability.
Designs and builds scalable data pipelines on GCP to enable business decisions, focusing on security, compliance, and reliable data delivery.
Build and own secure, production-grade full-stack systems and AI agent platforms in Python/TypeScript, deploying on GCP/Kubernetes to support clinical R&D and corporate workflows in a regulated biotech environment.
Designs and builds scalable data pipelines for fraud detection, cancer research, and national intelligence projects, collaborating with analysts and engineers to process diverse data sources.
Builds and maintains Azure-based data pipelines and lake loading for analytics and ML, collaborating with analysts and architects to deliver cloud-native solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.