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Senior Data Engineer Madrid
Senior Data Engineer builds and optimizes cloud-based data pipelines using PySpark, SQL, and cloud services (Azure, AWS, GCP) to deliver scalable analytics solutions for enterprise clients.
Senior Data Engineer - ODS
Design and build scalable data pipelines using Spark and cloud platforms to power analytics and ML for a leading digital bank.
Senior Data Engineer - ODS
Build and optimize large-scale data pipelines using PySpark/Scala and AWS services to power analytics, ML, and reporting for a leading digital bank.
Senior Data Engineer - ODS
Build and optimize large-scale data pipelines using PySpark/Scala and AWS to feed analytics, ML, and reporting for a digital-banking platform.
Senior Data Engineer (AWS)
Build and maintain cloud-based data platforms on AWS, designing batch and real-time pipelines with PySpark, Python, and SQL while orchestrating data workflows.
Senior Data Engineer & AI
Build and maintain cloud data infrastructure, orchestrate ETL/ELT pipelines, and support AI initiatives for a creative transformation agency.
PySpark AWS Data Engineer
Build and maintain scalable PySpark data pipelines on AWS EMR and S3, deploying cloud-native infrastructure with Terraform/CloudFormation for clients across industries.
Senior Lead Data Engineer
Build and scale cloud-based data pipelines and platforms using AWS, Python, PySpark, and Databricks to deliver reliable, high-performance data solutions for analytics and business needs.
Data Engineer - Business Processes
Build and maintain scalable data pipelines and analytics infrastructure for a growing SaaS company, using Redshift, Python, Power BI, and modern ETL frameworks to drive business decisions.
AWS Data Engineer: ETL Pipelines, Redshift & BI
Build and maintain data ingestion/ETL pipelines using Python, PySpark and Spark, load into Redshift, and support BI reporting in a growing product team.
Senior Data Engineer, Platform
Build and maintain Rover’s data pipelines and analytics infrastructure using Python, DBT, Dagster, and Redshift to ensure reliable, testable data for the business.
Data Engineer AWS (DBT)
Build and maintain cloud-based data platforms on AWS using PySpark, Python, and dbt to ingest, process, and orchestrate batch and streaming pipelines for clients.
Data Engineer / AWS & Big Data
Build and maintain cloud-based data pipelines and analytics solutions on AWS using Python and SQL, integrating AI models into business-facing data systems.
Senior Data Engineer
Build and maintain AWS-based data pipelines and ETL/ELT workflows using Python, Spark, and Databricks to feed analytics and ML models.
Senior Data Engineer
Build and run end-to-end data pipelines for enterprise clients, designing ETL workflows, cloud data models, and dashboards while mentoring junior engineers.
AWS Data Engineer
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, SQL, and related tools.
Senior Data Engineer
Design, build, and maintain scalable data pipelines and architectures using Python, SQL, Spark, and cloud platforms to enable analytics and data-driven decisions.
Data Engineer - Data Platforms & Architecture
Design and build scalable data pipelines and modern data architectures (Snowflake, BigQuery, Redshift) using ETL/ELT tools (dbt, Talend, Informatica) and modeling approaches (Kimball, Data Vault, Lakehouse).
AWS Data Engineer
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, and SQL.
Data Engineer ID52278
Design and scale high-performance ELT pipelines for a centralized data warehouse, collaborating with cross-functional teams to build a robust, scalable data platform.