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Azure Data Engineer
Build and maintain scalable Azure data pipelines and architectures using Data Factory, Databricks, and Synapse to ingest, transform, and integrate data for analytics and reporting.
Data Engineer |Teletrabajo
Build and maintain end-to-end data pipelines and warehouses in Snowflake, using Matillion, dbt, Azure Data Factory, and Power BI to deliver scalable, high-performance analytics solutions.
Data Engineer
Designs and maintains data pipelines using Microsoft Fabric and Azure tools to build scalable analytics platforms for enterprise clients.
Data Engineer
Build end-to-end data pipelines and analytics solutions for Oysho’s eCommerce platform using Databricks, PySpark, SQL, and Power BI to drive business decisions.
Data Engineer
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting, processing, and modeling data with PySpark, ADF, and KQL for analytics and reporting.
Data engineer
Build and maintain robust ETL/ELT pipelines, cloud data warehouses/lakes, and curated datasets for BI and AI initiatives using Snowflake, Azure, or AWS.
Data Engineer
Build and maintain end-to-end data pipelines on Azure Synapse, model a Data Lake, and orchestrate Python workloads on AKS to deliver KPIs for renewable-energy operations and reporting.
Azure Data Engineer: Pipelines, Databricks & DataOps
Builds and maintains Azure-based data pipelines and Databricks workflows for Ayvens’ financial data platform, ensuring reliable data flows and stakeholder reporting.
Senior Backend Developer
Build and maintain the backend of a new Generative AI hub for a financial services firm in Valencia, using Node.js or .NET 8 on Azure to power AI-driven financial services with RAG, vector search, and multi-agent orchestration.
Azure Data Engineer & Python Developer
Build and maintain cloud-native data pipelines and serverless Python functions on Microsoft Azure, integrating corporate systems and transforming data with Azure Databricks.
PYTHON DEVELOPER
Build and maintain Python-based APIs, Azure Functions, and data pipelines for enterprise solutions using Azure SQL, Databricks, and Data Factory.
Er du klar til å bli vår nye data engineer hos Sonat Consulting-
Build and maintain scalable data pipelines and platforms using tools like Snowflake, Databricks, and cloud services, collaborating with cross-functional teams to deliver reliable data solutions for business insights.
Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Senior Data Engineer builds and maintains scalable ETL pipelines using Python, Snowflake, and Azure, focusing on cloud data warehousing and dimensional modeling.
Data Engineer - Tieto Tech Consulting (m/f/d)
Build scalable data platforms and robust pipelines for Norwegian enterprises, using Python, SQL, and cloud tools like Azure, Databricks, and Snowflake to turn raw data into business insights.
Senior Data Engineer til samfunnsviktige og kommersielle oppdrag
Build and maintain modern data platforms (lakehouse, data warehouse) and ETL/ELT pipelines in cloud and on-prem, integrating structured and unstructured sources to enable analytics and AI solutions.
Senior Azure Data Engineer - Hybrid Lima
Builds and maintains Azure-based data pipelines using Databricks, Data Factory, SQL, and Data Lake Storage to support digital data transformation.
Azure Data Engineer - Bluetab Perú
Senior Azure Data Engineer designs and builds data pipelines using Azure Data Factory, Databricks, and SQL, focusing on analytics and ML projects for an outsourcing client.
Senior Azure Data Engineer – Data Factory, Databricks & ML
Build and maintain data pipelines in Azure Data Factory and Databricks, and support ML workflows on Azure SQL for outsourced analytics projects.
Data Engineer - Fornebu - Oslo BESATT
Senior Data Engineer designs and builds scalable data platforms and pipelines using Python and cloud tools (Azure, Databricks, Snowflake) to support analytics and reporting for large clients.
Data Engineer
Build and maintain data pipelines, ETL workflows, and warehouses using Azure Data Factory, Snowflake, Databricks, SQL, and Python to support analytics and decision-making.