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Senior GCP Data Engineer
Design and build scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Dataproc with Scala or Python for enterprise clients.
Senior Data Engineer - Azure/ Data Fabric
Build and optimize scalable cloud data pipelines using Snowflake, Databricks, and Microsoft Fabric, ensuring data quality and governance for enterprise clients.
(Relocation to Spain) Data Engineer
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.
PySpark AWS Data Engineer
Build and maintain scalable PySpark data pipelines on AWS EMR and S3, deploying cloud-native infrastructure with Terraform/CloudFormation for clients across industries.
Azure Data Engineer (International Team)
Build and maintain cloud data pipelines on Azure, using Data Factory, Databricks, and DevOps to ingest, process, and orchestrate large-scale data workflows.
Big Data Engineer, Spark, Scala
Build and maintain big-data pipelines for financial-sector clients using Spark, Scala, and Python on Cloudera/Databricks.
GCP Data Engineer
Designs and builds scalable cloud data pipelines using Scala, Java/Spring Boot, and Talend, and optimizes SQL queries on GCP Cloud SQL.
Spark/Scala data engineer
Build scalable ETL pipelines and real-time data processing systems using Scala and Apache Spark, deploying on cloud platforms like Azure, AWS, or GCP.
Data Engineer — Build Scalable Pipelines & Cloud Migrations
Build and maintain scalable data pipelines and cloud migrations using Spark, Scala, Hadoop, and Kubernetes for a global tech services team in Madrid.
Azure Data Engineer — Streaming to Batch Pipelines
Design and implement Azure-based streaming-to-batch data pipelines using Data Factory, Data Lake Storage, and PySpark/Scala in Python.
Data Engineer (French Speaking)
Build and maintain AI-driven data pipelines for financial crime detection at a fintech company using Spark, Python, and big-data tools.
Scala & Spark Data Engineer
Designs and implements scalable data pipelines using Scala, Apache Spark, and Databricks to process and integrate financial data in cloud environments.
Data Engineer (C1 Inglés)
Build and maintain large-scale data pipelines and cloud infrastructure using AWS, Spark/Scala, Python, and SQL to power analytics and ML workloads.
Data Engineer. Sector Defensa
Build and maintain robust data pipelines for a cyber-defense project, ensuring high-quality data ingestion, transformation, and delivery using ETL/ELT tools and big-data tech.
Senior Data Engineer
Senior Data Engineer builds and maintains cloud-based data pipelines and analytics infrastructure to enable data-driven decisions across Bunge’s global operations.
Data Engineer Senior
Senior Data Engineer building scalable big-data pipelines in AWS using Spark on Scala, optimizing performance for large datasets and collaborating with an international team.
Data Engineer Senior
Senior Data Engineer builds and maintains scalable data pipelines, cloud infrastructure, and ML models on Google Cloud using Python, SQL, dbt, and Databricks.
Senior Data Engineer
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.
Data Engineer + AWS
Build and maintain scalable data pipelines on AWS using Spark, Kafka, and Python to feed a Data Lake for enterprise clients.
Junior Data Engineer
Build and maintain high-performance data pipelines for a real-time ad-tech platform, enabling ML models with clean, scalable data while working in a fast-paced engineering team.