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Data Engineer/Analyst PowerBI
Builds and maintains data pipelines in PL/SQL and Python to feed analytics and reporting, ensuring data quality and performance for a luxury retail company.
Hybrid Analytics Engineer: Data Pipelines & Insights
Build and optimize data pipelines with dbt, SQL, and Python to deliver AI-driven insights for an orthodontic clinic network.
Data Engineer Remoto y Horario Flexible - Pipelines en la Nube
Build and maintain cloud-based data pipelines using ETL/ELT, SQL, Python, dbt, Airflow and Spark in a flexible, autonomous role.
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.
Data Engineer - Industry Sector
Build and maintain ETL pipelines, SQL tables, and cloud-based data workflows using Matillion and Snowflake to feed analytics and reporting for an industrial multinational in Madrid.
Data Engineer (Madrid/Barcelona)
Build and maintain scalable data pipelines in Databricks and dbt, automate infrastructure with Terraform and Kubernetes, and set up CI/CD using Azure DevOps for cross-functional teams.
Data Engineer Senior
Senior Data Engineer builds and optimizes data pipelines for an energy-sector project, using Python, ETL tools, and cloud services to deliver clean, reliable data and APIs.
Senior Data Engineer
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for an AI-powered fintech using Kubernetes, Airflow, and cloud platforms.
Azure Data Engineer
Build and optimize Azure-based data pipelines using Python, PySpark, and Azure Data Factory to migrate streaming workloads to batch processing.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud-based data pipelines and models for CRM and retargeting, using Spark, Python, and GCP/AWS/Azure to ensure clean, high-quality data for analytics.
Data Engineer AWS
Builds and maintains AWS-based data pipelines using Glue, Spark, Lambda, and S3 to move and transform data for analytics and reporting.
Remote Data Engineer — ETL & API Pipeline Architect
Design and maintain ETL/ELT pipelines and API integrations to unify data sources into a reliable foundation for analytics and business teams.
Data Engineer AWS
Build and optimize AWS-based data pipelines and warehouses using ETL, modeling, and cloud architecture to support analytics and decision-making.
AI & Data Engineer
Designs and builds AI/ML models and data pipelines in Python, deploys them on Azure/AWS, and integrates them into automotive services.
Data Engineer
Build and maintain scalable data pipelines using Databricks, Azure Data Factory, and PySpark to process and transform enterprise data for analytics and reporting.
Senior Data Engineer: Cloud Pipelines & ML
Build and maintain cloud data pipelines and ML solutions using Python, SQL, and dbt on Google Cloud, AWS, and Azure.
Remote Data Engineer: AWS Data Platform & ML Pipelines
Build and optimize AWS-based data platforms, ETL pipelines, and ML deployment workflows using Infrastructure as Code and CI/CD in a collaborative, English-speaking team.
Senior Data Engineer - Cloud Data & AI Pipelines
Builds and maintains cloud-based data pipelines and AI workflows using SQL, ETL, and Databricks to turn raw data into business insights for enterprise clients.
Data Engineer — Build AI-Ready, Scalable Data Pipelines
Build and optimize enterprise-scale data pipelines for AI readiness using SQL, Linux, and ETL/ELT tools in a cloud environment.