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Build and scale Ebury’s data infrastructure in Madrid, using Python, SQL, and GCP to ensure reliable, high-performance pipelines for analytics and innovation.
Build and maintain scalable data pipelines and integrations across multi-cloud environments, design analytical data models, and automate data workflows for analytics teams.
Build and scale GCP-based data pipelines to ingest audio for AI model training, optimizing cost, speed, and quality while collaborating with scientists.
AWS Infrastructure Services is seeking a detail-oriented engineer to join the Data Center Engineering Operations team in Spain. ¿Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a…
Build and maintain Snowflake and AWS-based data platforms, automate infrastructure with Terraform, and run secure data pipelines across 60+ countries.
Own and evolve a Snowflake-based data platform and AWS lakehouse, managing Terraform infrastructure and Airflow workflows in a hybrid Barcelona role.
Designs and builds data architectures and backend systems for AI in renewable energy, using Microsoft Fabric, Power BI, and REST APIs.
Designs and implements scalable Azure data platforms using ADLS, Databricks, and Terraform for a multinational insurance company.
Experteer Overview ¿Tiene las habilidades necesarias para este puesto? Lea todos los detalles a continuación y presente su candidatura hoy mismo. As a Technical Support u0026amp; Data Operations Engineer, you identify…
Designs and builds data pipelines and warehouses for clients using Hadoop, Snowflake, Kafka, Spark, and Python/Java.
Lead a team to build and optimize GCP-based ELT pipelines in BigQuery using Dataform and SQL, focusing on cost, performance, and data quality.
Builds and maintains OMOP/FHIR data pipelines to integrate real-world clinical data for analytics and research in a healthcare setting.
Design and build scalable, cloud-native data platforms with AI integration, collaborating with product, DevOps, and analytics teams to support live systems.
Design, build, and maintain cloud-native data pipelines and AI services on AWS for Schneider Electric’s climate-tech products.
Build and scale high-volume audio data ingestion pipelines on GCP using Terraform and Docker, collaborating with AI researchers to improve Speechify’s models.
Engineer healthcare data interoperability solutions, ensuring regulatory compliance and translating clinical requirements for research projects while collaborating with public institutions and hospitals.
Designs and builds enterprise-scale data platforms to power AI and analytics, setting architecture standards and ensuring governance across global teams.
Builds and maintains data ingestion pipelines, lakehouse environments, and real-time streaming systems using SQL, PySpark, Kafka/Kinesis, and Go.
Build and maintain scalable Azure data pipelines using ADF, Databricks, and Azure DevOps to ingest, process, and orchestrate analytics workloads.
Build and maintain scalable real-time data pipelines, optimize ClickHouse for fast analytics, and implement data contracts for a multi-tenant platform.
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