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Digital Data Engineer Intern: Build Insights & Prototypes
Intern role at P&G’s MEQUINENZA PLANT to analyze operations, build digital prototypes, and learn SQL, Python, and BI tools under mentorship.
Data Analyst o Data Engineer (Cliente Final) - madrid
Data Engineer en telecomunicaciones diseña capas de datos en BigQuery, valida fuentes como Segment y GA4, y prepara datasets para modelos de negocio e IA.
Remote Azure Data Engineer — ADF, PySpark, CI/CD
Design and build ETL pipelines in Azure Data Factory using Python and PySpark to migrate and transform data for cloud platforms.
Data Engineer (PySpark | AWS | Terraform) (Remoto)
Builds and maintains Big Data pipelines using PySpark, AWS, and Terraform to diagnose issues, optimize data processing, and implement new features in a cloud environment.
Senior Data Engineer: AWS, Spark & Data Lake
Design and maintain scalable AWS-based data pipelines and data lake solutions using Spark, Python, SQL, and Kafka.
Senior Data Engineer: de datos a producto (Remote)
Leads end-to-end data projects from ingestion to product, integrating backend, APIs, and dashboards with Python, SQL, and cloud deployments, while owning systems in production with a focus on AI-driven impact.
Senior / Staff data Engineer (Agentic AI)
Designs and optimizes scalable data pipelines (ETL/ELT) for structured/unstructured data (sensor/image) to support AI/advanced analytics, collaborating with data scientists and engineering teams. Focuses on agentic AI orchestration and digitalization initiatives.
Junior Data Engineer | BI & Data Analytics (Hybrid)
A junior data engineer role focused on transforming raw data into actionable business insights via BI tools and analytics pipelines in a hybrid Madrid office.
Senior Data Engineer - Build Data Products & AI (Remote/Madrid)
Leads end-to-end data projects, transforming data into products with ownership of pipelines, APIs, and dashboards, using cloud, backend, and some frontend technologies.
Senior Data Engineer, Healthcare Tech (Remote/Hybrid)
Designs, deploys, and maintains scalable data pipelines for a healthcare tech product using Python, SQL, Airflow, and AWS.
Senior Data Engineer - AWS, Spark & Kafka
Maintains and evolves a corporate data lake on AWS, ensuring stability, scalability, and performance. Builds batch/streaming pipelines using Spark, Kafka, and Python for real-time data integration.
Senior Data Engineer — Python + Snowflake/Databricks
Builds and maintains large-scale, production data pipelines in AWS using Python, Snowflake/Databricks, and ETL/ELT to support a leading insurance company’s data infrastructure.
Azure Data Engineer - Inglés Avanzado
Designs, builds, and maintains Azure Data Factory ETL pipelines, migrating data while ensuring quality and business value. Collaborates with cross-functional teams to advise on data migration strategies and technical solutions.
Data Engineer Junior - PrimeIT España
Builds and maintains data pipelines for processing, transforming, and normalizing data, focusing on observability, security logs, and telemetry with Python, SQL, and containerized environments.
Python Data Engineer - Build Data Platforms (Remote)
The Data Engineer will design and maintain data platforms, pipelines, and tooling to support analytics and machine learning teams. The role focuses on Python development, data architecture, and implementing robust CI/CD practices.
Senior Data Engineer (AWS)
Keepler is seeking a Senior Data Engineer to build and manage data platforms within AWS environments. The role involves designing data ingestion and processing pipelines using Python, Spark, and various AWS services.
Azure Data Engineer/Remoto ESPAÑA(H/M/X)
The Azure Data Engineer will design and develop ETL processes and manage data migrations to the Azure cloud platform. The role requires 3-6 years of experience and proficiency in Python, PySpark, and Azure Data Factory.
Data Engineer- Data Modeling (Snowflake, dbt) - barcelona
The Data Engineer will work on data ingestion and modeling projects for an automotive client using Snowflake, dbt, and Airflow. The role involves building data pipelines and key performance indicators within a cloud environment.
Data Engineer: Cloud Analytics & Big Data
The Data Engineer will build and maintain scalable data pipelines and architectures using Python, Databricks, Snowflake, SQL, Spark, and Hadoop. This role involves collaborating with global teams on high-impact data and analytics projects.
Data Engineer - Multinational Company
The Data Engineer will build and manage data pipelines using Python, SQL, PySpark, and Apache Airflow within an AWS environment. The role requires professional fluency in both Spanish and English.