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Senior Data Engineer builds and refines reference architectures on Microsoft Fabric, turning business needs into scalable data solutions using Azure DevOps and CI/CD.
Design and build cloud-based data pipelines and storage for large-scale analytics, using Python, SQL, and Cloud platforms to deliver insights across industries.
Design and maintain data pipelines and architecture for life sciences clients using Python and related tools.
Build and own a global IoT data platform on Azure, designing ETL pipelines and metrics delivery for Turf Tank’s climate-tech solutions.
Student role building and maintaining a diagnostic data platform using Python, dbt, and Power BI for a sortation systems company.
Senior Data Engineer to migrate Oracle databases to PostgreSQL, convert ODI pipelines to Azure Data Factory, and build Power BI reports for business insights.
Design and optimize cloud data platforms using Microsoft Fabric and Databricks, focusing on data integration, automation, and high-quality solutions with Python.
Senior Data Engineer builds scalable cloud data platforms using Microsoft Fabric, Python, and Databricks, designing pipelines, transformations, and models to turn raw data into insights and AI-ready foundations.
Senior Data Engineer builds and maintains cloud data platforms using Microsoft Fabric, Databricks, and Python to ensure high data quality and enable analytics.
Build and troubleshoot data workflows for clients using Weld’s AI agent platform, consulting on integrations and pipeline design while gathering feedback to shape product improvements.
Designs and builds scalable data platforms using Microsoft Fabric, Python, and Databricks to create robust data foundations and analytics pipelines.
Build and maintain data pipelines and models in Python, SQL, and PySpark to ingest, transform, and deliver data for clients, turning insights into actionable value.
Design and build modern data solutions while advising clients and mentoring junior engineers in Python, SQL, and APIs.
Builds and maintains Microsoft Fabric pipelines and AI integrations for public and private sector clients in Denmark.
Build cloud-native Python apps for market data dashboards, risk analytics, and backtesting frameworks while collaborating with researchers and traders.
Builds cloud-native Python apps for quant research and trading, including data pipelines and backtesting tools using NumPy, Pandas, and AWS in a production environment.
Design and build Azure-based data pipelines for renewable energy asset analytics, ensuring data quality and reliability for global operations and reporting systems.
Senior Data Engineer builds and leads a Databricks-based data platform, mentoring engineers and shaping scalable data solutions for a data-driven organization.
Build and maintain a real-time data platform for a DeFi/crypto trading firm, designing scalable pipelines and lakehouse architectures to unify analytics across trading, risk, finance, and research.
Build and maintain a new data platform for Denmark’s defense procurement agency, designing data models and pipelines to ensure reliable, secure data flow from sources to operational needs.
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