1 день назад
Principal Software Engineer- Data Platforms
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer- Data Platforms (Data Platforms/AI): Building and operating reliable, scalable data pipelines and datasets for AI discoverability, analytics, reporting, and workflow automation across scientific, clinical, and enterprise data with an accent on metadata, data quality, and compliant lifecycle management. Focus on enabling cross-entity queries, contextual data linking, performant access patterns, and production-grade observability for structured and unstructured data.
Location: Woking, United Kingdom; hybrid work arrangement
Company
IDBS is a operating company that provides software platforms and services for scientific research, drug development, and manufacturing data.
What you will do
- Lead the hands-on delivery of reliable, scalable data pipelines and datasets for AI discoverability, analytics, reporting, and workflow automation.
- Build, evolve, and operate ingestion and processing capabilities for structured, semi-structured, and unstructured data.
- Implement metadata and data quality practices that support cross-record querying, traceability, and AI-ready data access.
- Partner with architects, AI engineers, workflow engineers, and domain experts to deliver performant and trustworthy data capabilities.
- Set high standards for data engineering practices, mentor engineers through code and delivery, and resolve complex data challenges.
Requirements
- Significant hands-on experience building and operating production data pipelines for analytics, AI/ML, and enterprise applications.
- Strong experience with structured and unstructured data ingestion, transformation, enrichment, indexing, and lifecycle management.
- Ability to deliver production-grade data systems focused on quality, reliability, scalability, observability, and operational support.
- Experience enabling cross-entity queries, contextual linking, and performant data access for AI and reporting use cases.
- Principal-level technical impact through delivery, mentorship, and cross-team collaboration rather than line management.
Nice to have
- Experience supporting GenAI, NLP, or AI-driven discovery and reporting through curated datasets and data pipelines.
- Production experience with cloud data platforms and tooling, including Databricks and AWS.
- Experience with regulated or quality-sensitive domains such as life sciences or GxP-aligned environments.
Culture & Benefits
- Work within ’s continuous improvement system and a culture focused on tangible scientific and technological impact.
- Collaborate with colleagues supporting global biopharma and life sciences customers.
- Contribute to software capabilities used across research, clinical, manufacturing, and enterprise workflows.
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