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.
Senior Data Engineer builds and maintains data pipelines using SAP, AWS, Spark, Python/SQL, and Airflow for a tech consultancy serving EMEA clients.
Data Engineer builds cloud-based ETL pipelines in Python and Airflow to ingest and model data for analytics and reporting.
Build and optimize cloud-based data pipelines using Spark on Databricks, MongoDB, Delta Lake, Airflow and Azure Data Factory to turn raw data into scalable, production-grade analytics platforms.
Build and maintain scalable data pipelines and platforms for Proton’s privacy-focused products using Scala/Java/Python and Spark, ensuring reliable analytics and insights.
Lead the design and build of MoonPay’s real-time data pipelines and streaming systems, enabling fraud detection and ML use cases on GCP with Kafka, Pub/Sub, Apache Beam, and Kubernetes.
Lead the design and build of scalable data pipelines for AI products using dbt, BigQuery, and Airflow, while mentoring engineers on modern data-stack best practices.
Builds and maintains cloud data pipelines on GCP (Dataflow, Airflow, BigQuery) and SQL databases to feed data warehouses for business analytics.
Senior Data Engineer designs and maintains cloud data platforms using Python, SQL, AWS, Snowflake, dbt, and Airflow to power analytics and BI solutions.
Build and enforce data governance frameworks for Semrush’s analytics ecosystem, ensuring data quality, ownership, and reliability across integrations and reporting assets.
Designs and optimizes cloud-based ETL/ELT pipelines and data lakes using AWS, dbt, Airflow, and Terraform to deliver data products for analytics teams.
Builds and maintains a modern data platform using Python, SQL, Airflow/Dagster, and Snowflake to power analytics and reporting for a crypto company.
Build and maintain robust big-data pipelines using Spark (Scala), Airflow, Kafka, and CI/CD tooling for a major bank’s Data Tribe in Madrid.
Build and maintain the data platform that powers e-commerce insights: Snowflake, AWS lakehouse with Iceberg tables, Airflow pipelines, and Terraform IaC.
Build and maintain scalable cloud data pipelines using AWS, Snowflake, dbt, and Airflow to power analytics and business intelligence for a pharma-sector client.
Build and optimize Aircall’s real-time analytics platform using Scala, Python, and AWS tools to deliver low-latency insights for 22,000+ customers.
Build and optimize large-scale data pipelines using Scala/Spark and AWS to power analytics, ML, and reporting for a digital bank, ensuring reliable data flows for business decisions.
Build and maintain scalable data pipelines in Databricks and Airflow, design robust data models, and ensure data quality for AI-first product analytics at a global classifieds marketplace.
Build and maintain data pipelines using SQL, Python, and Google Cloud tools like BigQuery and Airflow for a client project.
Builds and maintains ETL pipelines and data warehouses on GCP to power AI-driven marketing, using Python, dbt, Airbyte, and Airflow.
Builds and maintains scalable data pipelines on Azure using Spark, Databricks, Delta Lake, and Airflow to support digital-transformation projects in a multicultural team.
We couldn't check your fit for this role — add a CV to your profile to see it next time.