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Data Engineer - Modern Data Stack & Cloud ETL
Designs and maintains cloud-based ETL/ELT pipelines and modern data stacks, optimizing costs and performance with SQL and cloud platforms.
Senior Data Engineer (LLM & RAG)
Senior Data Engineer builds scalable pipelines, modernizes LLM architectures, and implements RAG systems to enhance data quality and enable advanced analytics for a telecom group.
Senior Data Engineer at Zurich Insurance
Build and maintain a Databricks-based data warehouse and ETL pipelines for investment analytics at a global insurer, using Python, SQL, Spark and Azure.
Senior Data Engineer: Hybrid/Remote + Flexible Hours
Senior Data Engineer building and optimizing ETL/ELT pipelines, data models, and large-scale data infrastructure for a banking project, with hybrid work in Madrid.
Data Engineer Azure / Databricks
Build and optimize scalable ETL/ELT pipelines on Azure Databricks using PySpark, Delta Lake, and Unity Catalog to integrate diverse data sources 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.
Data Engineer (GCP & BigQuery)
Build and maintain data pipelines on GCP, using BigQuery, Python, dbt, and Prefect to ingest, transform, and activate data from CRM, ecommerce, and digital campaigns.
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.
Data Engineer – Vulnerability Data Platform (Hybrid)
Builds and maintains a distributed data pipeline that cleans, transforms, and serves vulnerability and exposure data in near real time using PySpark, Airflow, dbt, and AWS.
Data Engineer (with Microsoft Stack)
Build and maintain data pipelines using Microsoft’s stack (Azure Data Factory, Synapse, Fabric) to integrate and transform data for analytics and AI solutions.
Data Engineer (Analytics) con inglés
Builds and maintains analytical data models with dbt, designs ETL/ELT pipelines, and delivers reporting solutions in MicroStrategy.
GCP Data Engineer — Build Scalable ETL Pipelines
Build and optimize GCP-based ETL/ELT pipelines using BigQuery and Dataflow for enterprise clients in Spain.
Senior Data Engineer & AI
Build and maintain cloud data infrastructure, orchestrate ETL/ELT pipelines, and support AI initiatives for a creative transformation agency.
Data Engineer: Microsoft Fabric & Azure Pipelines (Hybrid)
Builds and maintains end-to-end data pipelines using Microsoft Fabric, Azure Data Factory, and Spark/Databricks to power modern analytics platforms.
Data Engineer III at Emburse
Build and maintain data pipelines, warehouses, and AI integrations for Emburse’s travel and expense SaaS platform using Snowflake, Databricks, AWS, and Looker.
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 solutions in a hybrid Madrid role.
Senior Data Engineer, 100% En remoto
Build and maintain secure, reconciled ETL/ELT pipelines in AWS to migrate large-scale customer and financial data, using SQL, Python, and Snowflake.
Data Engineer (Azure & Modern Data Platform)
Build and optimize cloud data pipelines for analytics using Azure Data Factory, Databricks, and Power BI to enable strategic decision-making for enterprise clients.
Data Engineer (Databricks & Pl-SQL)
Design and build ETL/ELT pipelines with Databricks and PL/SQL on Oracle, automate data workflows, and create MicroStrategy dashboards for business analytics.