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.
Design and build enterprise-scale data pipelines and warehouses to unify operational data for analytics and AI in Basel.
Build the data backbone for a new global Retail Media channel: transform raw sensor streams from thousands of stores into real-time measurement, forecasting, and attribution systems using Spark, Kafka, Trino, and privacy-preserving pipelines.
Build and maintain cloud-based data pipelines and AI applications using Python, Spark, and Kafka to process large datasets and deliver insights for cybersecurity clients.
Build and own backend services and data pipelines that power an AI operating system for industrial parts and equipment, ensuring clean data and reliable AI insights for non-technical users.
Build and scale cloud-based data ingestion pipelines on GCP to feed AI model training, using Terraform to extend infrastructure while collaborating with AI researchers.
Design and deploy secure, scalable LoRaWAN IoT networks, integrating devices and gateways while ensuring robust operation and end-to-end security.
Design, train, and deploy AI/ML models and generative AI solutions using cloud-native platforms like GCP Vertex AI, Azure ML, or AWS SageMaker.
Define enterprise-wide data architecture, models, and governance for a large organization, ensuring interoperability and alignment with business strategy.
Manages construction programme data, integrating schedules, costs, and risks into scalable datasets for reporting and analysis using Excel, Power Query, and Power BI.
Build and maintain Python-based data pipelines, ETL workflows, and backend services using Airflow, BigQuery, and PySpark to support enterprise-scale analytics and digital transformation.
Build and maintain data quality frameworks and pipelines, enforcing standards across systems and mentoring teams to ensure reliable enterprise data.
Lead Specialist designs and builds scalable data pipelines for OT/IT systems, enabling analytics and AI/ML use cases while addressing industrial data challenges.
Design and maintain data quality frameworks, rules, and automated checks to ensure enterprise data accuracy and reliability across systems.
Design and maintain scalable ETL/ELT pipelines and data infrastructure using Apache Spark, Airflow, and Data Lake architectures to enable analytics and business decisions.
Designs and optimizes a cloud lakehouse data platform using Databricks and Snowflake to build scalable, automated pipelines for secure data ingestion and access.
Build and deploy ML models for predictive maintenance and energy optimization using Python, FastAPI, and Azure ML in ETAP’s electrical digital twin platform.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Data Transformation & Automation Engineer Position Summary As a GSC Data Transformation & Automation Engineer , you will play a critical role in enabling data-driven decision making across Global Supply Chain…
Builds and optimizes GenAI pipelines using Azure AI Search and data ingestion frameworks to enhance retrieval and semiconductor manufacturing processes.
Build and maintain scalable data pipelines and lakehouse architectures to collect, process, and govern audio and vehicle telemetry for ML training and in-cabin personalization in automotive infotainment systems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
