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Data Engineer: AWS/Azure Pipelines & PySpark Expert
Build and maintain robust data pipelines in AWS or Azure using PySpark and Python, ensuring high performance and reliability while collaborating with Data and AI teams.
Data Engineer
The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services in an Agile environment. The role requires proficiency in both Spanish and English.
AWS Data Engineer
Builds and maintains data pipelines, ETL/ELT processes, and data models on AWS (S3, Redshift) to ingest, transform, and analyze structured/unstructured data, collaborating with cross-functional teams to ensure data quality and operational efficiency.
Data Engineer (Palantir)
Keepler is seeking a Data Engineer to implement data models, orchestration flows, and governance strategies using PySpark and Palantir Foundry. The role requires on-site work at client offices and involves managing the full data lifecycle from ingestion to final application delivery.
Data Engineer - Syntonize
Syntonize is looking for a Data Engineer to design and maintain scalable data pipelines using AWS or Azure, PySpark, and Python. The role involves processing large volumes of data and collaborating with a team focused on software engineering, data, and AI.
Data Engineer
Build and optimize large-scale data pipelines on AWS using PySpark, Kafka, and Spark Streaming to process and transform high-volume datasets.
AWS Data Engineer - Hybrid, Flexible Hours, Data Pipelines
Builds and maintains data ingestion/transformation pipelines on AWS using Python, PySpark, and Redshift, collaborating with architecture, visualization, and business teams to optimize processes.
Senior Data Engineer — AWS Cloud & Data Pipelines
Build and maintain cloud-based data platforms on AWS, focusing on data ingestion and processing pipelines using Spark, Python, and AWS services.
AWS Data Engineer - Hybrid, Data Pipelines & Redshift
Builds and maintains data pipelines for ingestion/transformation using AWS, S3, Redshift, and tools like Talend, PySpark, and SQL to create datamarts and BI solutions.
Python Developer
Scalian is seeking a senior Python developer to build backend applications, APIs, and microservices while integrating generative AI and data platform solutions. The role involves working with cloud infrastructure and Kubernetes in a hybrid environment based in Getafe.
Data Engineer (Microsoft Fabric)
Data Engineer will design and implement data pipelines in Microsoft Fabric, integrate diverse data sources, transform batch data, and ensure data quality/validation. Core tech: PySpark, SQL, Delta/Parquet, Azure Synapse, and Git-based workflows.
Data Engineer (Microsoft Fabric)
Builds and maintains scalable data pipelines using Microsoft Fabric, Azure Synapse, and PySpark to process large datasets, integrating diverse sources like Excel into a layered architecture for production-grade analytics.
Data Engineer - GCP
Design and build scalable GCP data pipelines using PySpark, BigQuery, Kafka, and Airflow to process batch and real-time data for analytics and BI.
Databricks Data Engineer
The Databricks Data Engineer will design, build, and maintain data pipelines and architectures using the Databricks platform and cloud services. This role involves collaborating with cross-functional teams to deliver scalable data solutions for various clients.
Data Engineer
Builds and maintains a Microsoft Fabric-based data layer that integrates multiple sources into versioned, auditable datasets for insurance risk models.