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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.
Lead Data Engineer – Onsite
Lead the design and implementation of a scalable data platform (Salesforce Data 360) and data lake, integrating ERP, CRM, and BI tools while ensuring governance and compliance.
Data Engineer, Analyst – Insurance
Build and maintain an insurance-focused data warehouse, automate ETL pipelines, and create Power BI dashboards to track claims, conversion, and retention KPIs.
Junior Data Engineer: Data Flow & Architecture
Build and maintain data pipelines in Python and Airflow to ensure BigQuery data remains accurate and traceable for a European scale-up.
Data Engineer (C1 Inglés)
Build and maintain large-scale data pipelines and cloud infrastructure using AWS, Spark/Scala, Python, and SQL to power analytics and ML workloads.
Data Engineer (Microsoft Fabric)
Build and maintain scalable data pipelines using Microsoft Fabric to integrate and optimize data from ERP, CRM, and APIs for analytics and reporting.
Data Engineer. Sector Defensa
Build and maintain robust data pipelines for a cyber-defense project, ensuring high-quality data ingestion, transformation, and delivery using ETL/ELT tools and big-data tech.
Data Engineer + AWS
Build and maintain scalable data pipelines on AWS using Spark, Kafka, and Python to feed a Data Lake for enterprise clients.
Cloud Data Engineer
Designs and maintains cloud-based data pipelines and warehouses using Python, PySpark, SQL, and Databricks to power analytics and ML on Microsoft Azure.
Cloud Data Engineer
Build and maintain cloud-based data pipelines for a global fintech firm, using Python, Spark, and Azure to enable analytics and reporting.
Azure Data Engineer
Build and optimize Azure-based data pipelines and architectures, implementing scalable cloud solutions with Azure Data Factory, Databricks, and PySpark.
Azure Data Engineer
Build and optimize Azure-based ETL pipelines using Python, PySpark, and Azure Data Factory to migrate streaming data to batch storage in ADLS.
Lead Data Engineer
Lead a data engineering team to build scalable analytics pipelines and models for a large European automotive marketplace, using Python, Spark, Airflow, and SQL.
Data Engineer Intern
Build and maintain cloud-based data pipelines using Azure services (Fabric, Synapse, Data Lake) and Python/SQL to turn raw data into insights for clients.
Data Engineer II
Build and maintain scalable cloud data pipelines for a global travel platform, using AWS, Kafka, Spark, and Scala to process billions of daily events.
Data Engineer Azure
Build and optimize Azure-based data pipelines and cloud architectures, using Azure Data Factory, Synapse, PySpark, and Medallion/Lakehouse patterns to move and transform data securely and at scale.
Data Engineer III
Builds and maintains data pipelines, warehouses, and AI integrations for a SaaS travel-expense platform using Snowflake, Databricks, AWS, and Looker.
Azure Data Engineer
Designs and builds scalable Azure data pipelines with Databricks, Synapse, and Data Factory to process batch and streaming data for analytics and AI models.
Google Data Engineer
Designs and builds scalable data pipelines and cloud architectures on Google Cloud Platform, ensuring high-quality data for analytics and AI workloads.
AI Data Engineer
Designs and maintains AI-augmented data extraction pipelines using Pydantic, Scrapy, and LLM agents to autonomously scrape and validate structured data from websites while ensuring compliance and reusability.