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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.
Senior Data Engineer
Senior Data Engineer builds and maintains large-scale AWS data pipelines for an insurance client using Python, Snowflake/Databricks, and ETL/ELT workflows.
Data Engineer | 100% Remote
The Data Engineer will design and build scalable ETL/ELT pipelines for large-scale customer and financial data migrations using SQL, Python, and AWS. The role focuses on ensuring data quality, reconciliation, and security while collaborating with stakeholders to deliver enterprise-level data solutions.
SIEM Data Engineer
The SIEM Data Engineer will manage log stream processing and integrate security data into SIEM platforms like Splunk or Elastic. The role involves defining data models and parsers while collaborating with international security and IT operations teams.
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 - 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.
Senior Data Engineer: Data Products & AI Pipelines
Builds and maintains scalable data pipelines and AI-enabled features using Python, Databricks/Spark, and Azure to power business software.
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: ETL & Data Warehousing in Hybrid Role
Builds and maintains data pipelines for ingestion and transformation, focusing on AWS, S3, and Redshift to process and store data efficiently.
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.
Senior Data Engineer Consultant
Senior Data Engineer Consultant designing and delivering advanced analytics and BI solutions for UK clients, primarily using the Microsoft BI stack (SQL Server, SSIS, SSRS, SSAS), Power BI, Azure Data Factory, and Python.
Hybrid Full-Stack Engineer: Python, AI & React
Builds AI-driven automation solutions using Python/FastAPI and React for UIs, focusing on scalable microservices and system APIs for national/international projects.
Full Stack Dev for HealthTech MVP | Hybrid (Barcelona)
Build and evolve a health-data SaaS MVP with Next.js, TypeScript, Nest.js, and Python/Django while ensuring regulatory compliance.
Full Stack Engineer Go + Vue: Ownership & Impact | Remote
Builds and improves a business-critical platform using Go for backend and Vue for frontend, with Python and DevOps tasks.
Impactful Full-Stack Engineer: Python/React Hybrid Barcelona
Develops and maintains a global vulnerability detection platform using Python/React, ensuring scalability and security with automated testing and modern DevOps practices.
Desarrollador Full Stack Python/React – Azure & CI/CD
Builds custom digital solutions using Python, React, and Microsoft tools with CI/CD pipelines on Azure or AWS.