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Designs and builds scalable data pipelines on Google Cloud using BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Build and maintain data pipelines, warehouses, and lakes using Oracle, PostgreSQL, BigQuery, Kafka, and Python to feed analytics and reporting systems.
Builds and maintains dbt-based data pipelines in BigQuery, designs reliable models, and enforces data quality for analytics at Box Poland.
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Senior Data Engineer builds scalable data platforms using cloud tools (Azure, GCP, AWS), Databricks, and modern warehouses (Synapse, BigQuery, Redshift, Snowflake) to enable data-driven decisions.
Designs and builds scalable data pipelines on Google Cloud, focusing on BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Build and maintain GCP-based data pipelines (batch/streaming) with BigQuery and Pub/Sub, enforce data quality, and partner with ML engineers to support analytics and models.
Build and maintain scalable data pipelines in BigQuery using dbt/Dataform to feed marketing and product analytics dashboards.
Senior Data Engineer builds and scales cloud-based data pipelines and AI-driven analytics platforms using Databricks, Python/PySpark, and Power BI for European clients.
Build and maintain cloud-based data pipelines and APIs to process geospatial data (weather, satellite, locations) for agribusiness insights using Python, PostgreSQL/PostGIS, GCP, and AWS.
Build and maintain the data warehouse and pipelines that power reporting, AI workflows, and decision-making for a prop-trading discovery platform.
Build and maintain GCP-based data pipelines using BigQuery and Cloud Functions, following Medallion architecture and optimizing SQL workflows with Python.
Senior Data Engineer designs and builds scalable data platforms using cloud tools (Azure/GCP/AWS), Databricks, and modern warehouses (Synapse/BigQuery/Redshift/Snowflake) to enable data-driven decisions.
Build and maintain scalable data pipelines and AI-ready cloud infrastructure using Python, PySpark, and cloud platforms to support analytics and machine learning workflows.
Design and maintain scalable, event-driven data systems for a large marketplace ecosystem using Kafka, CDC, and cloud data platforms like BigQuery or Snowflake.
Build and operate cloud data pipelines using Python, Google Cloud, and Terraform to deliver scalable data products and KPIs in an agile team.
Senior Data Engineer builds scalable data pipelines and analytics solutions on GCP to enable data-driven decisions across Bunge’s global agribusiness operations.
Lead a team to design and implement scalable data pipelines on GCP using Airflow, BigQuery, Dataflow, and Dataproc, ensuring data quality, security, and compliance.
Staff Engineer designs and maintains scalable GCP cloud infrastructure and Kubernetes clusters for global media APIs handling 1B+ daily requests, using Terraform, Helm, and observability tools.
Build and maintain scalable data pipelines, cloud data infrastructure, and AI/ML-ready datasets for a global consulting firm.
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