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Build and maintain cloud data pipelines on GCP (Dataflow, Airflow, BigQuery) and SQL databases to feed analytics and business insights.
Build and maintain a modern data platform using Python, SQL, Airflow/Dagster, Snowflake, and AWS to power analytics and reporting across the crypto company.
Build and maintain robust big-data pipelines using Spark (Scala), Airflow for orchestration, and CI/CD tooling; ingest and process large datasets for a major banking client.
Designs, builds, and optimizes batch and streaming data pipelines using Python, Spark, and ClickHouse, and operates Airflow workflows for scheduling and monitoring.
Senior Data Engineer builds and maintains data pipelines using SAP, AWS, Spark, Python/SQL, and Airflow for EMEA clients in a hybrid Madrid role.
Senior Data Engineer builds scalable data pipelines and a Lakehouse architecture for payments and marketing analytics across AWS and GCP using Dagster/Airflow and IaC.
Design and build ETL/ELT data pipelines on Google Cloud Platform with BigQuery, using Python, SQL, Spark, Airflow and DevOps practices.
Designs and builds scalable data pipelines on Azure using Spark, Databricks, Delta Lake, and Airflow to support digital-transformation projects in a multicultural team.
Designs and optimizes cloud-based ETL/ELT pipelines and data lakes using AWS, dbt, Airflow, and Terraform to deliver data products for analytics teams.
Build and maintain scalable data pipelines in Databricks and Airflow, design robust data models, and ensure data quality for AI-first product analytics.
Builds and maintains ETL pipelines and data warehouses on GCP to feed AI-driven marketing systems, using Python, SQL, dbt, and Airbyte.
Data Engineer builds and maintains ETL pipelines using SQL, Python, and Google Cloud tools like BigQuery and Airflow for a client project.
Builds scalable data pipelines using Databricks, Spark, Airflow and Iceberg to power modern lakehouse platforms for Atos’ digital-transformation projects.
Builds and maintains big-data pipelines for a Madrid-based bank using Python, Scala, Spark, Airflow, and Kubernetes.
Build and scale data pipelines and infrastructure for an AI-powered shopping assistant using SQL, Python, Snowflake, and Airflow.
Senior Data Engineer builds and optimizes customer-identity data pipelines for ecommerce, using Python and Airflow to improve data reliability and matching accuracy.
Builds and maintains a cloud data lake and real-time streaming pipelines using Kafka, Spark, Scala, and Airflow to process billions of daily messages for analytics.
Build and maintain a distributed data pipeline for a vulnerability management platform, processing large datasets in near real-time using PySpark, Airflow, dbt, and AWS.
Build and optimize data pipelines with dbt, SQL, and Python to deliver AI-driven insights for an orthodontic clinic network.
Build and maintain cloud-based data pipelines using ETL/ELT, SQL, Python, dbt, Airflow and Spark in a flexible, autonomous role.
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