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.
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI in a modern Lakehouse architecture.
Builds and optimizes BI data models, ETL/ELT pipelines, and dashboards in Power BI/Qlik Sense to standardize reporting across European markets using SQL, Snowflake, ADF, and dbt.
Build and maintain scalable data pipelines on GCP using Python, Airflow, Spark, and BigQuery to power analytics and decision-making.
Senior AI Data Engineer builds and maintains scalable ELT pipelines and dbt models for Zendesk’s analytics platform, integrating AI tools to enhance data delivery and team productivity.
Senior Data Engineer designs and builds enterprise data platforms, ELT pipelines, and AI-ready architectures to power analytics and machine learning at a global tobacco-alternative company.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, and SQL to turn raw data into business insights for enterprise clients.
Build and maintain distributed data pipelines and processing systems for a Vulnerability & Exposure Management Platform, handling millions of daily events with Python, PySpark, and cloud tools.
Build and maintain a scalable datalake and canonical data model for SITA’s AI-powered airline operations platform, ingesting airline systems and ensuring reliable data for disruption recovery features.
Builds and maintains ETL/ELT pipelines and SQL analytics in Greenplum/PostgreSQL using Python for a large Russian IT integrator.
Build and automate data pipelines for financial clients, migrating on-prem systems to cloud and implementing DevSecOps practices using Kafka, Spark, Kubernetes, and CI/CD tools.
Build and scale data pipelines using Microsoft Fabric and Power BI to support reporting, analytics, and decision-making for a healthcare services company.
Build and scale ETL/ELT pipelines in PySpark and SQL, model enterprise data, and ensure quality and lineage for downstream analytics at a large IT consultancy.
Build and scale ETL/ELT pipelines and enterprise data models in Python to process large data volumes for a trusted tech partner.
Design and build enterprise-scale data pipelines and warehouses to unify operational data for analytics and AI in Basel.
Build and optimize Snowflake-based data platforms for clients, designing ELT/ETL pipelines and data models while collaborating with cross-functional teams.
Build and maintain ETL/ELT pipelines, Lakehouses, and data catalogs for a healthcare analytics platform using PySpark, SQL, and Power BI.
Build and maintain ELT pipelines, dbt transformations, and reporting-ready datasets for a healthcare-focused data warehouse using NiFi, dbt, and JMIX.
Build and maintain cloud or on-premise data pipelines and advise clients on modern data solutions using Python, SQL, Spark, and cloud platforms.
Build and maintain scalable data pipelines on GCP to power travel-tech analytics, using Python, dbt, Airflow, and BigQuery while collaborating with cross-functional teams.
Builds scalable data pipelines and medallion architectures on Databricks and cloud platforms for clients, translating business needs into production-grade ELT/ETL solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.