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Principal Data Engineer builds and leads AI systems at Anaplan, designing retrieval layers, RAG pipelines, and GenAI features that integrate LLMs into real-time planning workflows.
Lead the design and implementation of secure, compliant data pipelines and flows for a national transport authority, ensuring reliability and efficiency across operational and analytics systems.
Leads architecture and delivery of enterprise-grade cloud data platforms for major clients, focusing on Azure, Databricks, and distributed processing to drive scalable, secure analytics solutions.
Principal GCP Data Engineer designs and leads end-to-end data pipelines using BigQuery, Dataflow, Dataproc, Spark and Beam, while setting standards and mentoring teams.
Principal Data Engineer designs and maintains secure, scalable data platforms and pipelines for Defence/Aerospace programmes, using cloud-native tech and DataOps to enable analytics and digital transformation in regulated environments.
Design and implement secure data solutions for a defense-focused digital platform, integrating and managing data to meet client needs using SQL, ETL tools, and cloud services.
Design and implement data architectures for genomic research and clinical applications, integrating healthcare data solutions in a government-led initiative.
Principal Data Engineer designs and implements population health management systems, integrating data across stakeholders to improve health outcomes using advanced database and development skills.
Principal Data Engineer role at a UK-based company with a long history in aviation, focusing on data infrastructure and pipelines.
Designs, builds, and maintains secure data pipelines for a government highways agency, ensuring compliance and enabling analytics and BI platforms.
Principal Data Engineer designs, builds, and maintains data pipelines to connect operational systems with analytics and BI platforms for a government highways authority.
Principal Data Engineer builds and modernizes cloud data pipelines using Azure, Databricks, and Terraform, mentors engineers, and supports migration from legacy systems while aligning with business needs.
Lead a team of data engineers to design and deliver secure, scalable data solutions for critical energy and infrastructure projects, using cloud platforms and modern data practices.
Principal Data Engineer at IDBS leads AI-ready data pipelines and platforms, building scalable systems for structured/unstructured data to enable analytics and AI workflows.
Architects and builds scalable cloud data pipelines on Oracle Cloud Infrastructure for AI-driven healthcare analytics using Java and Python.
Design and maintain scalable data pipelines and architecture for a fast-growing ecommerce company, using Python, SQL, and cloud services like AWS/Azure.
Lead the design and delivery of a cloud-native data platform on GCP, mentoring engineers and setting standards for scalable, compliant data pipelines and governance.
Principal Data Engineer designs and scales GoTo’s Databricks Lakehouse (Unity Catalog, Delta Lake, Spark), sets data-pipeline standards, and leads AI-ready infrastructure and migrations.
Build and maintain the AI coding-agent harness: design guardrails, linters, and feedback loops that turn raw model output into production-grade, maintainable code while enforcing quality automatically.
Principal architect defines the Microsoft Fabric-based data platform, owning lakehouse design, semantic models, Azure security, and multi-tenant publishing for enterprise-scale analytics.
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