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Design and build data solutions on Azure and Databricks to support business operations in a healthcare-focused company.
Builds scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Builds and maintains Plain’s data warehouse, core models, and customer/account spine to power analytics and decision-making across teams.
Part-time role building data pipelines and cloud-native platforms for clients, using Python, SQL, and modern stacks like Azure, Snowflake, and dbt.
Builds and maintains modern data pipelines and platforms for clients, collaborating directly with teams to deliver insights using tools like Python, SQL, and cloud data warehouses.
Build cloud-based data pipelines and architectures in IBM’s Data & Analytics team, collaborating with specialists to enable data-driven growth.
Builds and maintains Azure-based data pipelines and analytics infrastructure for Ambu’s healthcare products, ensuring enterprise-scale data solutions and quality.
Build and maintain enterprise data pipelines and products on Microsoft Fabric/Azure to power analytics, automation, and AI at a global healthcare engineering firm.
Build and maintain Databricks-native data quality monitoring, pipelines, and dashboards using Spark, Delta Lake, and Python to ensure reliable reporting and governance.
Owns the integration layer connecting ERP, PIM, and PLM systems, designing scalable data ingestion pipelines and patterns for reuse across customers while collaborating with AI teams.
Senior Data Engineer builds and maintains a Databricks-based lakehouse on Azure, designing ETL pipelines and Delta Lake tables to power analytics and decision-making across Copenhagen Airports.
Lead a team to design and build enterprise-scale data pipelines and architectures for Novo Nordisk’s AI and data initiatives, ensuring high-quality data assets for patient-focused healthcare solutions.
Leads the design and implementation of AI data foundations at Novo Nordisk, collaborating with data scientists and AI teams to build scalable, secure data assets for AI use cases.
Build production-grade data pipelines and AI infrastructure for enterprises, using tools like Snowflake, dbt, and Databricks to power real-time AI workflows and agentic systems.
Build and maintain scalable regulatory data pipelines, crawling legal sources and normalizing them into structured models for compliance outputs in a fast-moving fintech startup.
Designs and operationalizes data pipelines for Denmark’s defense procurement agency, modeling data and ensuring quality to support military operations.
Build and maintain data pipelines that turn pharma production data into dashboards and automation for sterile and bulk manufacturing lines.
Builds and maintains IT/OT data pipelines to turn manufacturing data into insights that improve production lines in pharmaceutical facilities.
Senior Data Engineer building scalable data foundations for clinical decision-making, integrating diverse data sources and enabling AI-driven insights across drug development at a global healthcare leader.
Lead the design and optimization of data infrastructure for hearing-aid R&D, building scalable pipelines that power data-driven innovation in Oticon’s product portfolio.
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