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DATA ENGINEERING
Build and maintain scalable data pipelines, cloud data warehouses, and ETL/ELT workflows on AWS and Snowflake to feed analytics and reporting for a Spanish utility company.
Tech Lead Data Engineer | Snowflake, dbt y Power BI - madrid
Lead the design and evolution of a cloud data platform using Snowflake, dbt, and Power BI to support reporting and analytics for a logistics client.
Data Engineer - Industry Sector - Winning
Build and maintain ETL pipelines, SQL tables, and cloud data workflows using Matillion and Snowflake to deliver clean, timely data for analytics teams.
Data Engineer (AWS) · Hybrid Remote
Build and maintain cloud-based data platforms on AWS, designing batch and real-time pipelines with PySpark, Python, and SQL to ingest and process data for clients.
Senior Data Engineer (AWS)
Build and maintain cloud-based data platforms on AWS, designing batch/streaming pipelines with PySpark, Python, and SQL to support client transformations.
Senior Data Engineer - Capitole
Build and scale a modern data platform using Databricks, Delta Lake, and PySpark to power real-time analytics and ML models for business teams.
AWS Data Engineer - Hybrid/Remote
Build and maintain cloud-based data platforms on AWS, designing batch and real-time pipelines with PySpark, Python, and SQL while ensuring robust ingestion and orchestration.
Senior Data Engineer - Remote/Hybrid
Build and maintain cloud-based data platforms on AWS, designing batch and real-time pipelines with PySpark, Python, and SQL to ingest and process data for clients.
Data Engineer - bilbao
Builds and maintains data pipelines for a life-science project using Azure, Databricks, Spark, Scala, Airflow, Python, and SQL.
Data Engineer - castro
Builds and maintains scalable data pipelines using Snowflake and dbt to transform and optimize modern data platforms for digital transformation projects across industries.
Senior Data Platform Engineer | AWS, Spark & DevOps
Designs and maintains modern AWS-based data platforms, building scalable batch/streaming pipelines, optimizing data lakes/warehouses, and automating deployments with DevOps tools like Spark, Airflow, and IaC.
Full-Stack Data Applications Engineer (Python/Snowflake)
Builds Python-based backend data pipelines and self-service tools for Snowflake, integrating REST APIs and replacing legacy workflows; collaborates with AI tools like Claude across the engineering lifecycle.
Sr. Specialist, Data Engineering
Designs and maintains scalable data pipelines and warehouses to feed analytics, BI, and AI/ML models using cloud platforms like AWS, Azure, or GCP.
Data Engineer: Build Scalable Data Pipelines & Insights
Designs and maintains scalable data pipelines and warehouses to feed analytics and reporting for a direct-selling business.
Data Engineer / Cloud Data Engineer (AI Center of Excellence)
Design and build enterprise-scale data platforms (lakes, lakehouses, ETL/ELT pipelines) that feed AI and analytics workloads, using cloud-native tools like Microsoft Fabric, Databricks, and Snowflake.
Lead Data Engineer
Lead Data Engineer responsible for designing, building, and maintaining scalable healthcare data pipelines in AWS, handling PHI/PII securely, and integrating AI/ML for mapping and data quality while owning the full pipeline lifecycle from development to production.
Full Stack Data Engineer (Python) - Hybrid setup
Builds and maintains scalable data pipelines and integrations using Python, handling ETL/ELT workflows, database interactions, and API connections to unify disparate data sources for business use.
Data Engineer
Build and maintain scalable data pipelines on Snowflake using SnowPipe and dbt, ensuring clean, reliable data for analytics and AI/ML workloads.
Data Engineer Manager
Leads a team that designs, builds, and maintains automated data pipelines in a cloud-native environment, ensuring clean, governed data for analytics and downstream systems using tools like Spark, Airflow, Snowflake, and Databricks.
Informatica Data Engineer-Data Integration
Designs and maintains ETL pipelines using Informatica PowerCenter/IICS to integrate enterprise data from databases like Oracle and SQL Server into data warehouses.