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Data Engineer – AI-Driven Pipelines & BI Platform
Build and maintain AI-powered data pipelines and BI platforms using Snowflake, Databricks/Spark, AWS, and Looker to deliver analytics and data science capabilities.
AI-Enhanced Data Engineer — Remote/Hybrid & Snowflake
Build AI-assisted data pipelines in Snowflake, dbt Cloud, and Fivetran, automating ingestion to analytics and reviewing AI-generated code.
AI-Enhanced Data Engineer: Remote & Snowflake/dbt
Build and maintain data pipelines using Snowflake and dbt Cloud, ensuring data quality and modernizing the analytics stack with CI/CD and automated testing.
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.
Senior Snowflake Data Engineer — Remote/Hybrid
Design and optimize Snowflake-based data pipelines and models, ensuring reliable data delivery for business teams in a hybrid/remote setup.
Data Engineer: Build Trusted Pipelines in a Global Team
Build and maintain data pipelines using Snowflake and Databricks to ensure reliable data integrations for a global team.
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.
AI Data Engineer
Build AI-ready data pipelines and domain products in Microsoft Fabric and Snowflake, focusing on semantic annotation, vector stores, and RAG foundations for enterprise reuse.
Data Engineer/ Analyst- LookML
Designs and manages multi-instance Looker architectures (dev/pre/prod) for a digital transformation team, optimizing LookML/SQL in BigQuery, and ensuring data governance, CI/CD pipelines, and cost-efficient query performance to drive business decisions.
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 - Industry Sector
Build and maintain ETL pipelines, SQL tables, and cloud-based data workflows using Matillion and Snowflake to feed analytics and reporting for an industrial multinational in Madrid.
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.
AWS Data Engineer
Design and build scalable AWS data pipelines, integrating multiple sources with Python/PySpark and SQL to deliver clean, high-impact datasets for business teams.
Data Engineer: Build Pipelines in Snowflake & Databricks
Build and maintain data pipelines in Snowflake and Databricks, integrating reliable data flows for analytics and product telemetry while collaborating with data scientists.
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.
Senior AI Engineer - LLM - Pharma Industry
Build and scale LLM-powered AI solutions for pharma, integrating RAG, knowledge graphs, and cloud-native services to deliver enterprise decision support.
Data Engineer
Builds and optimizes cloud-based data pipelines and transformations using SQL, Spark, and Snowflake/Databricks to turn large datasets into business insights.
Credit Data Engineer: Data Pipelines & Risk Analytics
Build and maintain Snowflake-based data pipelines and datasets that feed credit risk models, exposure monitoring, and analytics for a large fintech product.
Lead Data Engineer - Snowflake Data Pipelines
Lead a small team to build and maintain scalable Snowflake data pipelines in Python and SQL, transforming raw data into insights for Dynatrace’s devtools platform.
Data Engineer: Big Data Pipelines & Cloud Analytics
Builds and optimizes cloud-based data pipelines and analytics transformations using SQL and tools like Snowflake, Databricks, and Apache Spark to deliver business insights.