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 scalable data pipelines using Spark, Airflow, and Scala, ensuring secure, high-performance data infrastructure for business needs.
Data Engineer building and maintaining scalable pipelines for a banking client using Python, Scala, Spark, Airflow, and Kubernetes.
Build and maintain cloud data pipelines on GCP and Databricks, using BigQuery, Airflow, dbt, and Dataflow to feed dashboards and experiments.
Design and maintain scalable data pipelines and models using SQL, Snowflake, and AWS, ensuring clean, performant data for analytics and reporting.
Build and maintain SeQura’s data pipelines and infrastructure, transforming raw payment data into reliable analytics tools for teams across the fintech.
Build and optimize large-scale data pipelines and lakes on AWS Databricks, orchestrating ETL workflows and ensuring data quality for a global risk-intelligence platform.
Build and migrate data pipelines for a bank using Spark/Scala, Airflow, and cloud storage, automating CI/CD and ensuring data quality in a hybrid Madrid role.
Build and maintain a modern data platform in AWS/Snowflake, design robust pipelines with Python/SQL/dbt, and enable analytics across Bitpanda’s crypto and wealth products.
Build and maintain the data stack for a health/beauty ecommerce company, including BigQuery pipelines, Looker Studio dashboards, and marketing attribution models to drive smarter decisions.
Build and optimize scalable data pipelines and analytics infrastructure using Python, Spark, Airflow, and ClickHouse to power Atolls' global shopping platform.
Build and optimize large-scale data pipelines for aerospace and defense clients using Python, Spark, and PostgreSQL on Cloudera/Hadoop clusters.
Builds scalable data pipelines and AI-driven analytics for a loyalty app with 130M users, using Databricks, Airflow, Python, SQL, and databases.
Designs and builds GCP-based ETL/ELT pipelines and data governance workflows using BigQuery, Dataflow, Airflow, and related tools.
Senior Data Engineer builds and maintains scalable identity/data pipelines for media clients using BigQuery, Python, Airflow, and Cloud Storage.
Build and maintain data pipelines and dashboards for Mondelēz’s Media Data Platform, integrating adtech data to deliver AI-driven insights and scalable reporting tools for internal stakeholders.
Build and deploy production-grade AI systems end-to-end, from data pipelines and ML models to scalable deployment and monitoring using Python, PyTorch, and MLOps tools.
Senior engineer maintains and troubleshoots a Kubernetes-based cloud Big Data platform, diagnosing container failures and performance issues while ensuring uptime for internal users.
Build and run a cloud-native Big Data platform on IONOS’s own cloud, owning Kubernetes, Terraform, and ArgoCD deployments while supporting internal data teams with L2/L3 ops and performance tuning.
Build and run the cloud platform that powers the company’s AI services on AWS and Kubernetes, automating deployments with Terraform and CI/CD while supporting MLOps workflows like SageMaker, MLflow, Airflow and Kubeflow.
Designs and maintains AWS/Azure cloud infrastructure and Python-based data pipelines, migrating to Kubernetes with GitOps and CI/CD while ensuring high availability and reliability.
We couldn't check your fit for this role — add a CV to your profile to see it next time.