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Data Engineer: Build Scalable Pipelines in Cloud
Build and maintain scalable data pipelines on cloud platforms like GCP, AWS, and Azure using Databricks.
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.
Data Engineer (Madrid/Barcelona)
Build and maintain scalable data pipelines in Databricks and dbt, automate infrastructure with Terraform and Kubernetes, and set up CI/CD using Azure DevOps for cross-functional teams.
Senior Data Engineer
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for an AI-powered fintech using Kubernetes, Airflow, and cloud platforms.
Data Engineer
Build and maintain scalable data pipelines using Databricks, Azure Data Factory, and PySpark to process and transform enterprise data for analytics and reporting.
Azure Data Engineer
Design and build scalable Azure data pipelines and Lakehouse architectures using ADF, Synapse, PySpark, and Delta Lake, ensuring secure, governed data flows for enterprise clients.
Senior Data Engineer
Build and scale a modern data platform using Databricks and Azure Data Factory to power advanced analytics, ML models, and near-real-time decision systems.
Data Engineer Databricks — Medallion Pipelines
Builds scalable data pipelines and modern analytics platforms using Databricks, Spark/PySpark, and cloud tech to process and analyze large datasets.
Data Engineer - Pipelines SQL/Databricks | Flexible y Remoto
Build and optimize Gold-layer data pipelines using SQL, Databricks, and Spark to make data production-ready.
Senior Data Engineer - Cloud Data & AI Pipelines
Builds and maintains cloud-based data pipelines and AI workflows using SQL, ETL, and Databricks to turn raw data into business insights for enterprise clients.
Data Engineer — Scalable Marketing Data & AI Pipelines
Designs scalable data pipelines and AI-driven analytics for a loyalty app with 130M users, using Databricks, Airflow, Python, SQL, and databases.
Data Engineer
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting batch/streaming data with PySpark/Databricks and orchestrating workflows via Data Factory and ADX.
Databricks Data Engineer | Build Scalable Data Pipelines
Build and optimize scalable data pipelines on Databricks using Spark/PySpark and Medallion architecture for modern cloud-based data platforms.
Senior Data Engineer: Fleet Data Pipelines & Analytics
Senior Data Engineer builds and scales cloud pipelines to turn raw vehicle data into analytics and ML insights for fleet management at a mobility/logistics company.
Junior Data Engineer – Mobile Apps & Cloud Data Pipelines
Build and maintain cloud data pipelines on GCP and Databricks, using BigQuery, Airflow, dbt, and Dataflow to feed dashboards and experiments.
Senior Data Engineer — Cloud Data Pipelines & AI (Aviation)
Designs and maintains cloud data pipelines and reference data patterns for an aviation-focused data platform, enabling analytics and ML use cases with tools like Databricks and AzureML.
Azure Data Engineer: Pipelines, Databricks & DataOps
Builds and maintains Azure-based data pipelines and Databricks workflows for Ayvens’ Target Data Platform, collaborating with stakeholders to document and execute data engineering processes.
Senior Data Engineer, AWS Pipelines & Data Governance
Design and maintain scalable AWS data pipelines to ensure high-quality data for strategic decisions, using Python, SQL, and Databricks.
Azure Data Engineer: Pipelines, Analytics & Impact
Build and maintain Azure-based data pipelines and analytics systems using SQL, Python, and Databricks to deliver insights for data-driven decisions.
Lead Data Engineer - Azure Data Platform & Pipelines
Lead a team to build and maintain Azure-based data pipelines and storage, using Databricks, Synapse/Fabric, and CI/CD to ensure high-quality, performant data flows.