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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 - Cloud Data Lake & Streaming
Builds and maintains a cloud data lake and real-time streaming pipelines using Kafka, Spark, Scala, and Airflow to process billions of daily messages for analytics.
Senior Data Engineer: End-to-End Pipelines & Analytics
Build and maintain end-to-end data pipelines, models, and governance to power analytics and BI for product, marketing, and revenue teams using SQL, Python, dbt, Airbyte, and Airflow.
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.
Hybrid Analytics Engineer: Data Pipelines & Insights
Build and optimize data pipelines with dbt, SQL, and Python to deliver AI-driven insights for an orthodontic clinic network.
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.
Remote Data Engineer Intern: Build Scalable Pipelines
Build and maintain scalable data pipelines in Google Cloud using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake to enable reliable data ingestion, transformation, and analytics.
Data Engineer Senior
Senior Data Engineer builds and optimizes data pipelines for an energy-sector project, using Python, ETL tools, and cloud services to deliver clean, reliable data and APIs.
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.
Senior Data Engineer
Senior Data Engineer builds and scales data pipelines and warehouses to power analytics products for restaurants using Python, SQL, dbt, Airflow, and cloud platforms.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud-based data pipelines and models for CRM and retargeting, using Spark, Python, and GCP/AWS/Azure to ensure clean, high-quality data for analytics.
Data Engineer – Data Mesh
Design and build a scalable Data Mesh architecture, defining data contracts and self-serve infrastructure while collaborating with domain teams to implement decentralized data ownership.
Data Engineer — Scalable Pipelines, Spark & Airflow
Builds and maintains scalable data pipelines using Airflow, Spark, and Scala, ensuring secure, high-performance data infrastructure for business needs.
DATA ENGINEER
Builds and maintains scalable data pipelines using Scala, Spark, Airflow, and cloud storage for BNP Paribas clients, ensuring performance, security, and data integrity.
Data Engineer / Big Data Engineer – Sector Bancario
Build and maintain big-data pipelines for a banking client using Python, Scala, Spark, Airflow, and Kubernetes.
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.
GCP Data Engineer: Cloud Pipelines & Data Governance
Designs and builds GCP-based ETL/ELT pipelines and data governance workflows using BigQuery, Dataflow, Dataproc, Airflow, and Pub/Sub.
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 – Identity/Data Pipelines (Hybrid Spain)
Senior Data Engineer builds and maintains scalable identity data pipelines for media domains using BigQuery, Python, Airflow, and Cloud Storage.