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Sii Poland is seeking a Senior Data Migration Engineer to join our delivery team focused on SQL Server to Snowflake migrations for a global client operating in the tobacco industry. You will contribute to the…
The Senior Data Engineer will build and maintain ETL/ELT data pipelines using AWS, Snowflake, Snowflake Cortex AI, and DBT. This role involves supporting data infrastructure needs across various internal teams and products.
The Data Engineer will design and maintain a centralized Azure-based data lake, building ETL/ELT pipelines to integrate EHR and operational data. The role involves complex data migrations, modeling, and ensuring data integrity and compliance within a healthcare environment.
This senior DataOps/Cloud Data Engineer role involves designing and optimizing data pipelines and models using Azure Data Factory, Databricks, and Medallion Architecture. The position requires working 5 days onsite in Toronto to migrate ETL processes and manage data movement between Oracle databases and Lakehouses.
Cortea is seeking an AI Engineer to build evaluation and observability infrastructure for their production-grade LLM audit agents. The role involves designing data pipelines, managing LLM quality metrics, and working with backend systems in a collaborative, office-based environment in Berlin.
The AI Data Engineer will design and maintain ETL/ELT pipelines, build dashboards, and manage data models to support AI-enabled automation workflows. The role involves using Python and SQL to ensure data reliability and quality within a healthcare technology environment.
Senior Data Engineer leading the design and implementation of Azure Data Factory pipelines, defining ELT transformation standards, and ensuring data quality on a modern Microsoft Azure data platform.
Build reusable data-platform tools and automation on Microsoft Azure (Databricks, ADLS) to support ETL pipelines and analytics, using Python, SQL, and Terraform.
Sii Poland is seeking a Senior Data Migration Engineer to lead SQL Server to Snowflake migrations for a global client in the tobacco sector. You will develop Matillion pipelines, implement AI-assisted code conversion,…
Platform Engineer maintaining and evolving PMI's global data platform—data catalog, quality, lineage, observability—using AWS, Snowflake/Databricks, dbt, Python, Terraform, and CI/CD tooling.
The Data Engineer will design, develop, and optimize scalable data pipelines and ETL/ELT workflows using PySpark, Python, and Azure Data Factory. This role requires 6-10 years of experience and involves working in a hybrid environment in Kraków.
The Data Engineer will join the Core Data Platform team to design and maintain scalable data pipelines and integration mechanisms using Python, SQL, and Apache Spark. This role focuses on building shared platform components and ensuring high data quality and reliability within a global fintech environment.
¡Apiux está buscando un/a Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA para TELETRABAJAR!!! Todas las habilidades, cualificaciones y experiencia relevantes que necesitará un…
We are still looking for the very Top Talent…and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place…
The Data Engineer will design and maintain telemetry data platforms using Snowflake and Python to provide engineering insights. The role involves building automated pipelines to process high-volume event data and creating scalable data models for organizational reporting.
We are seeking an experienced Data Engineer with 5+ years of expertise in building scalable data architectures and AI-driven automation systems. Se anima a todos los posibles solicitantes a que se desplacen y lean la…
Senior Data Engineer designing and maintaining scalable data pipelines and Azure-based storage/processing solutions for an international project, collaborating with Data Science and Analytics teams.
Data Engineer building scalable ETL/ELT pipelines and data models on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Composer) using SQL and Python for enterprise analytics and AI use cases.
Data Engineer building and optimizing Big Data pipelines and ETL/ELT processes using PySpark, AWS, Kafka, Spark Streaming, SQL, and table formats like Iceberg/Delta Lake.
On-site Data Engineer at Keepler (Accenture) in Spain, building PySpark-based data pipelines, ETL/ELT flows, and dimensional models while working toward Palantir Foundry adoption at client sites.
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