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Senior PySpark Data Engineer (AWS) - Remote, Long-Term
Senior Data Engineer designs and builds scalable PySpark and AWS data pipelines for Big Data processing in a fully remote, long-term project.
Senior Data Engineer — ETL, Python & Power BI
Designs and maintains ETL pipelines in Python/PySpark, builds Power BI dashboards, and owns the full data lifecycle from ingestion to governance.
ML Scientist & Data Engineer — Python, AWS & SageMaker
Build and maintain ML models and data pipelines using Python, PySpark, and AWS SageMaker for advanced analytics projects.
Remote Data Engineer - Databricks & AI-Driven Platform
Build and scale a modern data platform using PySpark, SQL, Python, and Databricks in a remote-friendly role for a Spain-based team.
Senior Data Engineer - Cloud & ETL Expert (Remote)
Senior Data Engineer builds and maintains cloud-based ETL/ELT pipelines using Python, PySpark, SQL, and dbt on AWS and Redshift, ensuring secure, scalable data flows.
Senior Databricks Data Engineer: Shape Modern Data Lakes
Build and maintain modern data lakes and lakehouse platforms using Databricks, Spark/PySpark, Python, and SQL while collaborating with architects and BI teams.
Senior Data Engineer & Tech Lead — Cloud Data Architect
Lead cloud and on-premise data projects using PySpark, SparkSQL, and Python, designing scalable data architectures and optimizing SQL/NoSQL systems for international clients.
Senior Data Engineer - Databricks & PySpark (Remote)
Builds and optimizes end-to-end data pipelines using PySpark and Databricks in cloud environments, designing scalable data architectures for large datasets.
Data Engineer - PySpark & Databricks for Banking
Build and maintain banking data pipelines using PySpark and Databricks in a Big Data environment.
JUNIOR DATA ENGINEER - ANALITYCS (Hibrido Madrid)
Build and maintain ETL pipelines with PySpark and cloud tools, write advanced SQL, and automate data workflows in a hybrid Madrid role.
Senior Data Engineer - Azure & Databricks (Remote/Hybrid)
Builds and optimizes scalable ETL/ELT pipelines on Azure Databricks using Python, PySpark, SQL, Unity Catalog, and Delta Lake.
Senior Data Engineer – PySpark, Python
Build and optimize PySpark/Python data pipelines and data-quality rules for a data lake, collaborating with data architects and analysts to ensure robust, scalable solutions.
Data Engineer: End-to-End Pipelines & BI for Ecommerce
Build and maintain end-to-end data pipelines and BI dashboards for an ecommerce retailer using Databricks, PySpark, SQL, Python, and Power BI.
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 outcomes.
Senior PySpark Data Engineer - Remote & Cloud Big Data
Senior Data Engineer builds and optimizes PySpark pipelines in a 100% cloud environment, designing Big Data models and working with AWS/Azure and SQL Server.
Data Engineer – Vulnerability Data Platform (Hybrid)
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.
Databricks Data Engineer: End-to-End Pipelines
Build end-to-end data pipelines using Python and PySpark on Databricks for a Big Data environment.
AWS Data Engineer: ETL Pipelines, Redshift & BI
Build and maintain data ingestion and ETL/ELT pipelines using Python, PySpark, and Spark, then deliver analytics via Redshift and BI tools.
Azure Data Engineer
Build and optimize Azure-based data pipelines using Python, PySpark, and Azure Data Factory to migrate streaming workloads to batch processing.
Data Engineer Senior
Senior Data Engineer designing and building scalable Big Data solutions on AWS using Spark with Scala, optimizing large-scale data processing for an international project.