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Hybrid Data Engineer — Databricks & ADF Cloud Pipelines
Designs and maintains scalable data pipelines using Databricks, Azure Data Factory, and cloud platforms to deliver data-driven solutions in a hybrid Madrid role.
Junior Data Engineer - PySpark & Cloud Pipelines (Hybrid)
Build and maintain ETL pipelines using PySpark and SQL, moving data into cloud storage and dashboards with Tableau/Power BI.
Databricks Data Engineer - Grow in Data & AI (Remote)
Build and maintain large-scale data pipelines using Python and PySpark while helping design modern data architectures for high-impact projects.
Senior PySpark Data Engineer - Remote & Cloud Big Data
Senior PySpark Data Engineer builds and optimizes cloud-based big data pipelines using PySpark, AWS/Azure, and SQL Server for a global IBM subsidiary.
Databricks Data Engineer: End-to-End Pipelines
Builds end-to-end data pipelines on Databricks using Python and PySpark to process large-scale datasets in a distributed Spark environment.
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 (Madrid, Spain)
Build and maintain data pipelines and distributed systems for European clients, using Python, Spark, and cloud platforms to solve business challenges in industries like pharma, insurance, and manufacturing.
Data Engineer - RHE - Data and Platform Engineer
Build and optimize enterprise-scale data pipelines and cloud-native platforms to power Roche’s AI and analytics needs, using Python, SQL, Linux, and ETL tools like Airflow and PySpark.
AWS Data Engineer: ETL Pipelines, Redshift & BI
Build and maintain data ingestion/ETL pipelines using Python, PySpark and Spark, load into Redshift, and support BI reporting in a growing product team.
Data Engineer - RHE - Data and Platform Engineer
Build and optimize enterprise-scale data pipelines and cloud-native platforms to power Roche’s AI and analytics needs, using Python, SQL, ETL tools, and cloud services.
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.
Data Engineer AWS (DBT)
Build and maintain cloud-based data platforms on AWS using PySpark, Python, and dbt to ingest, process, and orchestrate batch and streaming pipelines for clients.
Data Engineer (Microsoft Fabric)
Build and maintain scalable data pipelines using Microsoft Fabric to integrate and optimize data from ERP, CRM, and APIs for analytics and reporting.
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.
Senior Data Engineer
Senior Data Engineer builds and scales a modern data platform using Databricks, PySpark, and Azure Data Factory to power advanced analytics, ML models, and near-real-time decision systems.
Senior Data Engineer
Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
Senior Data Engineer
Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
AWS Data Engineer
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, SQL, and related tools.
Data Engineer (Azure)
Build and maintain cloud-based data platforms on Azure, designing batch/streaming pipelines with PySpark, Python, and Azure Data Factory while collaborating in an agile team.
AWS Data Engineer
Build and maintain AWS-based data pipelines using Python, PySpark, and SQL to integrate, transform, and deliver clean, scalable data for business insights.