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.
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.
Design and maintain global data pipelines for telemetry (logs, metrics, events) using Splunk, Cribl, Datadog, and cloud-native tools to optimize cost, routing, and governance.
Senior Backend Engineer builds and maintains data pipelines and REST APIs using Node.js, Java, and AWS, focusing on scalable systems and CI/CD in a remote setup.
Build and maintain ETL pipelines in Python, Snowflake, and Airflow to ingest, transform, and deliver retail analytics data for financial use cases.
Lead a team building scalable Snowflake and AWS data pipelines for enterprise clients, enforcing Medallion Architecture, data quality, and governance in an ELT-focused environment.
Build and scale FINN’s data platform from scratch, implementing BigQuery governance, dbt pipelines, and modern data infrastructure to democratize financial data across the fintech startup.
Designs and builds production-grade data pipelines and REST APIs using Node.js, Java 17+, Terraform, and AWS in a hybrid role based in Guadalajara.
Build and optimize cloud-native data pipelines and warehouses on AWS using Python, ETL/ELT tools, and modern data stacks for analytics and ML workloads.
We couldn't check your fit for this role — add a CV to your profile to see it next time.