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Maintains the Illustrated Parts Catalog for Airbus’s H140 helicopter, translating engineering data into accurate spare-parts lists to ensure airworthiness and safe maintenance.
Designs and builds AI systems to optimize industrial energy operations in a hybrid role, collaborating with cross-functional teams to deliver measurable business impact.
Build and scale data infrastructure for a bioenergy company, ensuring data quality and governance using SQL, Python, Azure, and Databricks.
Designs and optimizes cloud-based ETL/ELT pipelines and data lakes using AWS, dbt, Airflow, and Terraform to deliver data products for analytics teams.
Build and maintain scalable pipelines that turn raw satellite data into reliable, high-quality geospatial products for governments and businesses.
Build and maintain scalable data pipelines and Python software to transform climate science into production-ready datasets and APIs, collaborating with climate scientists to deliver risk products.
Senior Data Engineer builds data pipelines and models integrating SAP BW with Palantir Foundry to support aerospace operations and analytics.
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants, enabling AI-driven predictive maintenance and operational reporting.
Build and maintain Python-based data pipelines and cloud-native trading tools on AWS to support energy trading operations.
Designs and maintains secure data pipelines between manufacturing systems (MES, PLCs, historians) and enterprise platforms to enable global plant analytics and digital initiatives.
Build and maintain a Databricks/Azure-based data platform for a European resource-recycling company, ensuring clean pipelines and optimized analytics.
Senior Software/Data Engineer builds scalable data pipelines and services in Python/SQL to power Clarity AI’s climate-focused AI systems, ensuring reliability and performance.
Senior Data Engineer builds and governs scalable data pipelines on Databricks/Azure, enabling AI and analytics across Axpo’s climate-tech platform.
Designs and automates data pipelines in a lakehouse to turn scientific data into FAIR assets, ensuring quality and governance for global R&D decisions.
Build ETL pipelines and manage a lakehouse to turn scientific data into FAIR, reusable assets for R&D decisions in agri-tech.
Designs and maintains cloud data pipelines and analytics platforms on Azure and Databricks to support AI-driven analytics and predictive maintenance for food and beverage processing plants.
Design and automate scalable data pipelines for a biotech company, transforming genetic research data into a FAIR-compliant lakehouse using Microsoft Fabric Data Factory.
Designs and maintains scalable data pipelines for a science-led company, collaborating with data scientists and business teams to enable data-driven research and innovation.
Design and automate scalable data pipelines for a biotech company, transforming genetic-breeding research data into a high-performance lakehouse using Microsoft Fabric Data Factory.
Build and maintain scalable data pipelines and a high-performance Lakehouse for a biotech company, using Microsoft Fabric Data Factory to turn genomic and breeding data into FAIR assets for global R&D decisions.
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