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Data Platform Engineer
Build and maintain the data platform that powers e-commerce insights: Snowflake, AWS lakehouse with Iceberg tables, Airflow pipelines, and Terraform IaC.
Data Engineer - AWS & Snowflake - Pharma sector
Build and maintain scalable cloud data pipelines using AWS, Snowflake, dbt, and Airflow to power analytics and business intelligence for a pharma-sector client.
Senior Data Engineer | Databricks y Azure Data Factory
Design and build scalable data pipelines using Databricks, Azure Data Factory, Spark, Delta Lake and MongoDB to transform raw data into business insights for enterprise clients.
Senior Data Engineer, Real-Time Analytics
Build and optimize Aircall’s real-time analytics platform using Scala, Python, and AWS tools to deliver low-latency insights for 22,000+ customers.
Senior Data Engineer (Scala Spark AWS)
Build and optimize large-scale data pipelines using Scala/Spark and AWS to power analytics, ML, and reporting for a digital bank, ensuring reliable data flows for business decisions.
Analytics & Products Data Engineer — AI-First, Remote
Build and maintain scalable data pipelines in Databricks and Airflow, design robust data models, and ensure data quality for AI-first product analytics at a global classifieds marketplace.
Data Engineer SQL + Google Cloud 100% remoto
Build and maintain data pipelines using SQL, Python, and Google Cloud tools like BigQuery and Airflow for a client project.
Data Engineer | Up to 55k | Hybrid role
Builds and maintains ETL pipelines and data warehouses on GCP to power AI-driven marketing, using Python, dbt, Airbyte, and Airflow.
Senior Data Engineer | Spark & Databricks on Azure
Builds and maintains scalable data pipelines on Azure using Spark, Databricks, Delta Lake, and Airflow to support digital-transformation projects in a multicultural team.
Principal / Lead Data Engineer - Finance (all genders)
Lead the design and build of a scalable finance data platform, integrating SAP financial data into a data lake and warehouse using Airflow, Starburst, dbt, and Looker to ensure accurate financial reporting and reconciliation.
Senior Data Engineer — Build a Global Lakehouse Platform
Design and build a global lakehouse platform for payments and marketing analytics using AWS/GCP, Dagster/Airflow, and medallion-layer pipelines.
Data Engineer on GCP: Remote + BigQuery & ETL Pipelines
Design and build ETL/ELT pipelines on Google Cloud Platform, focusing on BigQuery, using Python, SQL, Spark, Airflow and DevOps practices.
Senior Data Engineer - ETL & APIs | Hybrid (Energía)
Designs, builds, and optimizes data pipelines and ETL workflows in Python, using tools like Apache Airflow and Azure Cloud.
Senior Data Engineer - Finance & SAP Data Platform
Lead the design and scaling of a finance-focused data platform, integrating SAP and other sources with a data lake to enable reliable financial reporting.
Senior Data Engineer (Databricks & PySpark)
Build and optimize end-to-end data pipelines using Python, PySpark, and Databricks for large-scale analytics projects.
Remote Data Engineer (GCP, BigQuery, Airflow)
Designs and maintains data pipelines on GCP using BigQuery and Airflow to ensure reliable data flow for analytics and reporting.
Data Engineer - QuantumBlack, AI by McKinsey
Build and own scalable data pipelines and analytics platforms to support AI adoption and business impact, collaborating with cross-functional teams and mentoring junior engineers.
Lead Data Engineer (m/f/d)
Lead a team to design and maintain large-scale Azure-based data pipelines for financial reporting, ensuring compliance and data quality across SAP-integrated systems.
Remote Data Engineer for AI-Powered Analytics
Design and scale data infrastructure for an AI-powered shopping assistant, building pipelines and ensuring data quality with SQL, Python, Snowflake, and Airflow.
Senior Big Data Engineer — Remote, Lakehouse & AI-Ready
Design and build end-to-end big-data pipelines using Spark, Python, Scala, Airflow and Databricks, and define Lakehouse and Data Mesh architectures for cloud environments.