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Senior Data Engineer builds and maintains cloud-based data pipelines and analytics infrastructure to enable data-driven decisions across Bunge’s global operations.
Senior Data Engineer builds and scales data pipelines and warehouses to power analytics products for restaurants using Python, SQL, dbt, Airflow, and cloud platforms.
Senior data engineer building and maintaining ETL pipelines, data warehouses, and analytics models using Airflow, PostgreSQL, Azure, and GCP for a Valencia-based agency.
Build and maintain cloud-based data pipelines and models for marketing analytics, enabling 1:1 retargeting and CRM for global brands using Spark, Python, and GCP/AWS/Azure.
Senior Data Engineer builds and scales a GCP/BigQuery data warehouse for an online education company, integrating diverse sources into a unified analytics model.
Design and maintain scalable cloud-based data pipelines on Databricks/Azure to ingest airport and airline data, enabling ML models that improve air transport operations.
Senior Data Engineer builds Python-based data applications and AI-driven platforms for insurers, using Snowflake, dbt, and REST/event-driven APIs to deliver real-time insights and automation.
Senior Data Engineer builds and maintains AWS-based pipelines for vehicle telemetry data, ensuring quality and scalability to power fleet analytics and ML models.
Build and maintain scalable data pipelines and models for a media company, using SQL, Python, dbt, Airbyte and Airflow to power analytics and ML systems.
Design, build, and maintain scalable data pipelines and architectures using Python, SQL, Spark, and cloud platforms to enable analytics and data-driven decisions.
Build and maintain Manychat’s data platform, designing scalable pipelines and infrastructure to power analytics and AI across social/messaging apps.
Build and optimize data pipelines for a fleet-management platform, processing vehicle telemetry with AWS and Databricks to power analytics and ML models.
Build and optimize AWS-based data pipelines and warehouses using ETL, cloud architecture, and database systems to support analytics and decision-making.
Design and build scalable data pipelines and warehouses, then integrate them with ML and GenAI systems to power analytics and business solutions.
Design and maintain scalable data pipelines and warehouses for a global ad-tech platform, ensuring real-time data availability and quality for analytics and decision-making.
Design and maintain scalable data pipelines and ETL/ELT workflows using Databricks, Azure Data Factory, and PySpark for cloud-based data platforms.
Build and maintain data pipelines, optimize data storage, and ensure reliable data flows for analytics and AI teams using cloud and distributed systems.
Design and maintain Snowflake-based data pipelines and warehouses that feed credit risk models, analytics, and reporting for a global distributor’s credit function.
Build and optimize modern data pipelines using SQL, scripting, and cloud warehouses (BigQuery/Snowflake) to migrate legacy ETL/ELT systems and ensure scalable, high-quality data architecture.
Design and scale high-performance ELT pipelines for a centralized data warehouse, collaborating with cross-functional teams to build a robust, scalable data platform.
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