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Lead Data & AI Engineer | JUNGLE
Lead the design and optimization of data pipelines and AI models on Google Cloud, using BigQuery, Dataform, and Python to build scalable ELT workflows and maintain robust data platforms.
Data Ops Engineer: AI Enablement & GenAI
Builds and optimizes ETL/ELT pipelines and integrates LLMs to deliver AI-powered analytics for enterprise clients.
EU Data Platform Engineer – Barcelona Onsite
Designs and maintains EU data pipelines for a mobility company, integrating sales, telematics, and market data while ensuring GDPR compliance and optimizing ETL/ELT processes.
Data Platform Engineer — Lakehouse & Governance Lead
Design and run large-scale data pipelines and lakehouse architectures, enabling analytics and AI workflows with Python, SQL, and Spark.
Senior Data Platform Engineer - Hybrid & AI-Ready Pipelines
Design and build scalable data platforms, lakehouse architectures, and ETL/ELT pipelines while collaborating with ML/AI teams to shape data strategy.
Data Engineer / BI Developer H/M/X – Remoto
Build and maintain data pipelines, ETL/ELT processes, and BI models using Snowflake and dbt to deliver analytics and reporting for business needs.
Graph Data Engineer: Neo4j, Graph ML & Real-Time Pipelines
Builds and optimizes graph data pipelines and models using Neo4j, focusing on ETL/ELT workflows and real-time data ingestion for business needs.
Tech Lead Data Engineer - Snowflake, dbt & Power BI
Leads the architecture and optimization of data pipelines on Snowflake and dbt, sets engineering standards, and collaborates with Power BI to deliver logistics analytics.
Data Engineer - Snowflake & dbt | Modern ELT, Hybrid
Build and optimize cloud data pipelines using Snowflake, dbt, and advanced SQL to implement ELT architectures and automated testing for international projects.
Data Engineer on GCP: Remote + BigQuery & ETL Pipelines
Design and build ETL/ELT data pipelines on Google Cloud Platform with BigQuery, using Python, SQL, Spark, Airflow and DevOps practices.
Senior Data Engineer - Lakehouse & AI Data Platform Lead
Lead the design and delivery of a lakehouse architecture and data platform, building scalable ETL/ELT pipelines and ensuring data quality for analytics and AI workflows.
Senior Databricks Data Engineer — Flexible Hours & Telework
Senior Data Engineer designs and builds ETL/ELT pipelines in Databricks, ensuring data quality in cloud-based data lakes, warehouses, and lakehouses while collaborating with architects and BI teams.
Senior Databricks Data Engineer - Flexible Hours Lakehouse
Senior Data Engineer designs and builds ETL/ELT pipelines in Databricks Lakehouse environments, leads technical teams, and collaborates with architects and data scientists.
Senior Data Engineer - Snowflake & DBT ELT Specialist
Builds cloud data pipelines and analytics models in Snowflake using dbt for ELT workflows, SQL, and CI/CD practices.
Azure Data Engineer — Industrial IoT & Analytics (Hybrid)
Designs and maintains cloud data pipelines and analytics platforms for a global food-processing company, enabling AI-driven predictive maintenance and operational reporting.
AI-Enhanced Data Engineer — Snowflake/dbt — Flexible/Remote
Builds and maintains Snowflake-based data pipelines and dbt Cloud models for a fashion retailer, using AI-assisted development and modern cloud stacks.
Senior Data Engineer - Snowflake, Python & ELT Expert
Build and maintain data pipelines, model data, and enable analytics using Snowflake, Python, DBT, and AWS while ensuring reliable data availability and quality.
End-to-End Data Engineer for Analytics & BI
Build end-to-end data pipelines and BI dashboards in Power BI, transforming business needs into clean, governed datasets and reports.
Data Engineer: ETL/ELT, Azure & BI Dashboards
Build and optimize data pipelines (ETL/ELT) on Azure to feed BI dashboards and analytics for a global hotel group.
Remote Platform Data Engineer - ETL, AWS, dbt & Airflow
Designs and optimizes cloud-based ETL/ELT pipelines and data lakes using AWS, dbt, Airflow, and Terraform to deliver data products for analytics teams.