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 Azure data pipelines using Data Factory, Databricks, and SQL, plus API integrations and Power BI datasets.
Build and migrate a legacy Hadoop data warehouse to a modern Spark 3/Iceberg lakehouse, optimizing ETL pipelines and analytics for a large-scale client.
Build and maintain Azure-based data pipelines and transformations using Data Factory, Databricks, and SQL, with API integrations and Power BI support.
Designs and optimizes real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools like Azure Data Factory and Airflow.
Design and execute cloud data migrations to GCP/BigQuery, build ETL pipelines with Python/PySpark, and automate infra with Terraform for enterprise clients.
Lead a team building scalable data platforms and AI solutions on Microsoft Azure, using Databricks, Python/PySpark, and Power BI to deliver digital products for clients in Northern Europe.
Lead the design and delivery of a cloud-native healthcare data platform using AWS, Apache Iceberg, and modern data tools, while mentoring engineers and ensuring data reliability.
We're currently seeking a Data Engineer to build, maintain, and optimise robust data pipelines. This role develops efficient ETL/ELT workflows using both Microsoft Fabric tools and the Databricks Lakehouse Platform…
Position Title: Engineering Manager, Data AI & Analytics Position Type: Regular - Full-Time Requisition ID: 42289 About The Role Reporting to the Director of Platform Engineering, Data AI & Analytics, the Data…
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to ensure data quality and performance.
Build ML models (predictive, recommendation, anomaly detection) in Python/PySpark/SQL to solve business problems and mentor junior data scientists.
Builds ML models and optimization algorithms to improve supply-chain decisions, then visualizes insights in dashboards for stakeholders using Python, SQL, and tools like Power BI, Tableau, and Gurobi.
Senior AI Engineer builds and optimizes NLP/LLM and agentic AI systems for healthcare, including RAG pipelines, classification, and evaluation frameworks.
Builds and maintains ETL/ELT pipelines in Hadoop/Spark to load and transform large customer and campaign datasets for a bank’s omnichannel personalization platform.
Design and operate data pipelines transforming healthcare reference data into reliable datasets for SaaS products using Python, Spark, and AI agents like Claude Code.
Build and maintain data pipelines, ETL/ELT workflows, and analytics platforms using Azure, Python, and Spark to support clients in marketing, e-commerce, and BI.
Senior data engineer building scalable data pipelines, modeling layers (Raw/Clean/Enriched), and implementing fuzzy matching algorithms in Python to clean and link records.
Expert, AI Engineer At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy…
Top/Required Skills: Python, FastAPI, System Design, End-to-End Software Development, REST APIs, Component-Based Architecture, MCP Servers, Google ADK, LangChain, RAG (Retrieval-Augmented Generation), PySpark,…
Build and maintain AI-powered document parsing pipelines, OCR/VLM models, and RAG systems to extract and structure data from diverse documents for GenAI applications.
We couldn't check your fit for this role — add a CV to your profile to see it next time.