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 building and maintaining modern data pipelines in hybrid environments for a fintech insurer, focusing on Oracle, BigQuery, and cloud data warehouses to enable data-driven decisions.
Design and build scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Dataproc with Scala or Python for enterprise clients.
Build and optimize GCP-based ETL/ELT pipelines using BigQuery and Dataflow for enterprise clients in Spain.
Build and maintain cloud data infrastructure, orchestrate ETL/ELT pipelines, and support AI initiatives for a creative transformation agency.
Design and build scalable data pipelines and cloud architectures using Python, PySpark/Scala, and cloud platforms (AWS, Azure, GCP) to enable analytics and ML workloads for enterprise clients.
Builds and validates scalable data pipelines using BigQuery, Cloudera/Hive, and SQL Server to integrate reliable financial or insurance data.
Designs and maintains scalable data pipelines, leads dbt projects on BigQuery, and builds BI dashboards using Python and cloud data warehouses.
Builds and validates data pipelines using BigQuery, Cloudera/Hive, and SQL Server to ensure reliable, scalable data integration for digital transformation.
Lead the design and optimization of iRESTORE’s BI stack, including BigQuery, Looker Studio, and dbt pipelines, to enable data-driven decisions across marketing, operations, and logistics.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform to power analytics and AI use cases for enterprise clients.
Builds AI agents and RAG systems to automate marketing workflows, integrate APIs via MCP, and deliver generative insights for ad-tech and media clients.
Build and maintain the data infrastructure (Google Cloud, BigQuery, Looker) that powers marketing and product decisions, analyze user acquisition campaigns, and create dashboards to track key metrics.
Build and maintain data pipelines and models in Databricks and BigQuery to integrate CRM, marketing, and finance systems and power revenue analytics for a SaaS business.
Build and maintain scalable data pipelines in Google Cloud using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake to enable reliable data ingestion, transformation, and analytics.
Build and maintain data pipelines and models in Databricks and BigQuery to power revenue analytics and forecasting for a SaaS-like product company.
Build and maintain Looker dashboards and data models for enterprise clients using LookML, SQL, and BigQuery pipelines.
Build and maintain data pipelines in Python and Airflow to ensure BigQuery data remains accurate and traceable for a European scale-up.
Build and maintain Ebury’s scalable data platform using Python, SQL, and GCP tools like BigQuery to enable analytics and insights across the company.
Senior Data Engineer builds and maintains cloud-based data pipelines and analytics infrastructure to enable data-driven decisions across Bunge’s global operations.
Build and run end-to-end data pipelines for enterprise clients, designing ETL workflows, cloud data models, and dashboards while mentoring junior engineers.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
