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 scalable data pipelines and models for mobile game analytics, using Python, SQL, and cloud warehouses like Snowflake to power monetization and A/B testing insights.
Senior Data Engineer builds and scales a unified data ecosystem for 60+ brands, designing ETL pipelines, data models, and governance to power analytics and AI across team.blue’s ecommerce platform.
Build and maintain data pipelines and warehouses for AI projects, using PySpark, Databricks, and Azure services to centralize and process large datasets.
Designs and builds scalable data pipelines and self-serve infrastructure under a Data Mesh model, collaborating with domain teams to define data contracts and ownership.
Build and maintain scalable data pipelines and AI-driven features for a hospitality analytics platform, using Python, BigQuery, and GCP to power insights and machine learning.
Build and maintain Google Cloud-based media data pipelines, ETL processes, and dashboards to track billions of ad impressions and drive ad-tech performance insights.
Build and own haddock’s data infrastructure from scratch, designing pipelines and models that power AI agents and analytics for restaurant back-office software.
Builds and maintains scalable data pipelines for BNP Paribas using Scala, Spark, Airflow, and cloud storage, ensuring data quality and security while collaborating with cross-functional teams.
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.
We couldn't check your fit for this role — add a CV to your profile to see it next time.