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 AWS-based big-data pipelines for a mobility/climatetech/logistics company, validating data accuracy and ensuring secure sharing.
Build and maintain big-data pipelines and ETL workflows using Python, SQL, PySpark, Terraform, and AWS; collaborate via JIRA and Confluence.
Senior Data Engineer builds and maintains data pipelines and analytics products using Python, SQL, Azure, and visualization tools to deliver insights-led business decisions.
Designs, optimizes, and secures SQL databases; builds ETL pipelines and reports in PowerBI and SSIS for business intelligence needs.
Lead a GCP-based data platform and AI team, building scalable ETL/ELT pipelines, optimizing BigQuery/Dataflow costs, and mentoring engineers to drive data-driven marketing and analytics products.
Designs and builds large-scale data pipelines in Google Cloud using Python, SQL, BigQuery, and ETL tools to turn raw data into actionable insights for business decisions.
Designs and delivers data-analysis solutions for telecom clients, including high-level and low-level designs, data modeling, and mining to optimize carrier processes and systems.
Design and maintain scalable data pipelines on GCP and Snowflake, ingesting marketing/media data and feeding analytics tools like Amplitude to power AI-driven insights for global brands.
Leads the design and scaling of enterprise-grade data platforms to power AI and analytics at Coca-Cola, migrating legacy systems to cloud and enforcing data quality and governance.
Build and maintain external data ingestion pipelines for insurance premium bordereaux and partner feeds, using Azure tools to ensure accurate, timely data for finance and reporting.
Leads a team to build and scale an enterprise data platform for AI and analytics, ensuring reliable pipelines and cloud modernization across Coca-Cola’s global operations.
Build and maintain scalable data pipelines and ETL processes for a systematic investment team using Python, SQL, and Linux.
Senior Data Engineer builds and maintains enterprise ETL/ELT pipelines, data lakes, and cloud infrastructure in Python, SQL, and AWS to support marketing analytics and data-driven decisions.
Build and deploy AI/ML models for healthcare analytics, integrating them into MLOps pipelines and visualizing insights with tools like Qlik.
Build and maintain AWS-based big-data pipelines using Glue, Lambda, S3, and PySpark; validate data quality and expose it via REST APIs.
Lead engineer building and scaling backend systems for card issuing and payments across African markets, while managing the engineering team and ensuring production reliability.
Designs and builds scalable server-side systems and APIs for AI products using Python/Go/Java/Node.js/Rust, focusing on distributed microservices and data pipelines.
Designs, builds, and maintains enterprise-grade Java backend services and microservices using Spring/Spring Boot and Kafka in a regulated financial environment.
Builds and maintains high-performance microservices and RESTful APIs in Go/Scala for a retail communications platform.
Lead engineer building and scaling backend systems for a card-issuing platform across sub-Saharan Africa, integrating with banks, schemes, and processors.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
