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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.
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.
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.
Azure Data Engineer (International Team)
Build and maintain cloud data pipelines on Azure, using Data Factory, Databricks, and DevOps to ingest, process, and orchestrate large-scale data workflows.
Data Engineer - Marketing & Communication Domain
Build and maintain large-scale data pipelines for a top European loyalty app, enabling AI-driven customer segmentation and personalized marketing campaigns.
Data Engineer - Azure Databricks & Lakehouse
Designs and builds Azure Databricks data pipelines and Lakehouse architectures using modern data processing tools.
Big Data Engineer, Spark, Scala
Build and maintain big-data pipelines for financial-sector clients using Spark, Scala, and Python on Cloudera/Databricks.
Data Engineer: Cloud, Data & Analytics
Build and deploy cloud-based data pipelines, ETL workflows, and analytics solutions using SQL, ETL tools, and cloud platforms like AWS/GCP for enterprise clients.
Data Engineer (Professional Level)
Designs and builds data pipelines using Microsoft Azure Synapse, Databricks, and SQL Server to process and model data for analytics and reporting.
Databricks Data Engineer: End-to-End Pipelines
Builds end-to-end data pipelines on Databricks using Python and PySpark to process large-scale datasets in a distributed Spark environment.
Data Engineer (Madrid, Spain)
Build and maintain data pipelines and distributed systems for European clients, using Python, Spark, and cloud platforms to solve business challenges in industries like pharma, insurance, and manufacturing.
Data Engineer Revenue Operations
Build and maintain data pipelines and models in Databricks and BigQuery to integrate CRM, marketing, and finance systems and power revenue analytics for a SaaS business.
Data Engineer - Marketing & Communication
Build and maintain large-scale data pipelines for a top European loyalty app, enabling AI-driven customer segmentation and personalized marketing campaigns.
Data Engineer: Build Scalable Pipelines in Cloud
Build and maintain scalable data pipelines on cloud platforms like GCP, AWS, and Azure using Databricks to support internal and external clients.
Data Engineer Revenue Operations
Build and maintain data pipelines and models in Databricks and BigQuery to power revenue analytics and forecasting for a SaaS-like product company.
Data Engineer: Azure & GCP Cloud Pipelines
Build and maintain cloud data pipelines on Azure and GCP using Python, Databricks, and PostgreSQL to transform and ensure data quality for production systems.
Scala & Spark Data Engineer
Designs and implements scalable data pipelines using Scala, Apache Spark, and Databricks to process and integrate financial data in cloud environments.
Data Engineer Jobs in Spain
Build and optimize data pipelines, AI platforms, and ad-tech integrations for enterprise clients, using Python, Databricks, AWS, and Dataiku in hybrid roles across Madrid, Malaga, and Barcelona.