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Data Engineer (GCP)
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform to power analytics and AI use cases for enterprise clients.
Standby-Flying Python Data Engineer, Cloud Pipelines
Senior Python developer builds and scales cloud data pipelines on GCP using Python, Kubernetes, and Terraform.
Data Engineer (Madrid/Barcelona)
Build and maintain scalable data pipelines in Databricks and dbt, automate infrastructure with Terraform and Kubernetes, and set up CI/CD using Azure DevOps for cross-functional teams.
Data Engineer (C1 Inglés)
Build and maintain large-scale data pipelines and cloud infrastructure using AWS services, Spark/Scala, Python, and SQL to support analytics and ML workloads.
Senior Data Engineer, Platform
Build and maintain Rover’s data pipelines and analytics infrastructure using Python, DBT, Dagster, and Redshift to ensure reliable, fresh data for business insights.
Senior Data Engineer
Senior Data Engineer designs, builds, and scales reliable data pipelines and governance at Netquest, a global market-research data provider, using Python, SQL, Airflow, Spark, and AWS.
Senior Data Engineer
Design and maintain scalable AWS data pipelines (S3, Glue, Redshift, EMR, Lambda) and ETL/ELT workflows to ensure high-quality, governed data for analytics and ML.
Senior Data Engineer
Build and maintain scalable data pipelines and a self-service data platform using Snowflake, Databricks, Airflow, and AWS, enabling trusted data products across TheFork’s restaurant booking platform.
SENIOR DATA ENGINEER
Senior Data Engineer to own and scale Euroinnova’s GCP-based data warehouse, build robust pipelines, and unify diverse data sources for analytics and business impact.
Data Engineer Senior
Senior Data Engineer building scalable data pipelines and cloud infrastructure on Google Cloud, using Python, SQL, dbt, and ML models for production systems.
Senior Data Engineer
Build and scale a global data platform using Microsoft Fabric, designing lakehouse pipelines, medallion architectures, and governed data products with modern engineering practices.
Principal Data Engineer
Lead the architecture of a global data platform on AWS, using Terraform and Apache Iceberg to build AI-ready pipelines and mentor a distributed data engineering team.
Senior Data Engineer
Build resilient data pipelines and lakehouse infrastructure for a crypto market maker, enabling real-time analytics and self-serve tooling for trading, risk, and research teams.
Data Engineer - GCP
Design and build scalable cloud data pipelines on GCP using Python, BigQuery, and modern data tools to enable business insights and analytics.
Senior Data Engineer
Build and evolve a global data platform using Microsoft Fabric, lakehouse architecture, and Azure, designing scalable pipelines and reusable data models for Vitrolife Group’s healthcare analytics.
Senior Data Engineer
Build and maintain scalable data pipelines and AI-powered features for a travel-tech platform, using Python, GCP, BigQuery, and Kafka.
Data Engineer - AWS
Build and maintain scalable cloud data pipelines on AWS, using Python, Spark, and modern architectures like Data Lakehouse to process and deliver high-quality data for business insights.
Data Engineer AWS
Builds and maintains AWS-based data pipelines using Glue, Spark, Lambda, and S3 to move and transform data for analytics and reporting.
Data Engineer
Build and run the AIOps platform that keeps AI models, LLM pipelines, and agents reliable, scalable, and cost-efficient in AWS/Azure.
Cloud Data Engineer
Build and optimize cloud data pipelines for enterprise clients using GCP services like Dataflow, BigQuery, and Dataproc, while deploying infrastructure with Terraform.