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Senior Data Engineer - Azure & Databricks (Remote/Hybrid)
Builds and optimizes scalable ETL/ELT pipelines on Azure Databricks using Python, PySpark, SQL, Unity Catalog, and Delta Lake.
AWS Data Engineer | Lakehouse & ETL Specialist
Designs and implements AWS-based data pipelines and ETL/ELT workflows, building scalable Lakehouse architectures with Spark and infrastructure-as-code.
Senior Databricks Data Engineer - Flexible Hours & Remote
Designs, builds, and optimizes ETL/ELT pipelines in Databricks for a large telecom’s data lake, collaborating with architects, analysts, BI, and data-science teams.
Data Engineer: BI, ETL & Analytics
Builds ETL/ELT pipelines with dbt and Airflow, designs BI dashboards in Power BI or Looker, and ensures data quality for internal stakeholders.
Senior Data Engineer (Databricks) — Data Platform Leader
Lead the design and development of ETL/ELT pipelines for a large-scale data platform using Databricks, ensuring data quality and collaborating with architects and analytics teams.
Data Engineer: End-to-End Pipelines & BI for Ecommerce
Build and maintain end-to-end data pipelines and BI dashboards for an ecommerce retailer using Databricks, PySpark, SQL, Python, and Power BI.
Remote Data Engineer - AWS, ETL & Migrations
Design and build large-scale data migrations, ETL/ELT pipelines, and data quality controls using SQL, Python, and AWS for a global product team.
Data Engineer, Life & Health Reinsurance Analytics
Designs and maintains ETL/ELT pipelines for Life & Health reinsurance analytics, ensuring data accuracy and structure for actuaries and data scientists.
Senior Databricks Data Engineer — Data Platform & Lakehouse
Build and optimize ETL/ELT pipelines, set up Data Lake/Warehouse/Lakehouse environments, and ensure data quality in a Databricks-based platform.
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 outcomes.
Senior Data Engineer - Data Platform & Lakehouse Architect
Designs and builds scalable data platforms, lakehouse architectures, and ETL/ELT pipelines to support analytics and AI workflows in a hybrid, international team.
Data Engineer DBT Snowflake. Inglés
Build and optimize Snowflake data warehouses and DBT pipelines to transform raw data into clean, analytics-ready models for reporting and insights.
Data Engineer (Azure & Modern Data Platform)
Design and build scalable cloud data pipelines using Azure Data Factory and Databricks, then model and optimize datasets for Power BI analytics and reporting.
GCP Data Engineer — Build Scalable ETL Pipelines
Build and optimize GCP-based ETL/ELT pipelines using BigQuery and Dataflow for enterprise clients in Spain.
Data Engineer: Microsoft Fabric & Azure Pipelines (Hybrid)
Builds and maintains end-to-end data pipelines using Microsoft Fabric, Azure Data Factory, and Spark/Databricks for batch and near real-time analytics.
Data Engineer – Vulnerability Data Platform (Hybrid)
Build and maintain a distributed data pipeline for a vulnerability management platform, processing large datasets in near real-time using PySpark, Airflow, dbt, and AWS.
Cloud Data Engineer: AWS & Snowflake Pipelines
Designs and maintains AWS-based ETL/ELT pipelines, optimizes Snowflake data models, and builds Airflow workflows to deliver trusted datasets for analytics and BI.
Data Engineer Remoto y Horario Flexible - Pipelines en la Nube
Build and maintain cloud-based data pipelines using ETL/ELT, SQL, Python, dbt, Airflow and Spark in a flexible, autonomous role.
AWS Data Engineer: ETL Pipelines, Redshift & BI
Build and maintain data ingestion and ETL/ELT pipelines using Python, PySpark, and Spark, then deliver analytics via Redshift and BI tools.
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.