Senior Data Engineer

247

UK
Fully remote
Cloud-native data platform on aws
Redshift and dbt at its core
Scalable data ingestion and transformation pipelines
As our Senior Data Engineer, you will design, build, and own the core business data platforms and pipelines that enable analytics, reporting, and future AI/ML workloads across HSO and business units such as Dentally

Job Summary

  • As our Senior Data Engineer, you will design, build, and own the core business data platforms and pipelines that enable analytics, reporting, and future AI/ML workloads across HSO and business units such as Dentally.
  • You will play a strategically important role in establishing best practice data engineering foundations and embed a scalable architecture, trusted data models, robust data quality, and secure access to our healthcare data.
  • You will work on meaningful problems that will have a high visibility and a direct impact on enabling the company strategy, product innovation, automation, and commercial outcomes.

Matching Summary

As our Senior Data Engineer, you will design, build, and own the core business data platforms and pipelines that enable analytics, reporting, and future AI/ML workloads across HSO and business units such as Dentally.

Skills & Requirements

Must-have

  • Cloud-native data platform on AWS
  • Redshift and dbt at its core
  • Scalable data ingestion and transformation pipelines
  • Trusted datasets for analytics
  • Data quality, testing, monitoring, documentation
  • Secure, compliant data access patterns
  • Operational excellence for data pipelines

Nice-to-have

  • Experience in highly regulated environments
  • MLOps and AI data pipeline needs
  • Pragmatic, sustainable, well-governed systems
  • Curious, ownership, continuous learner mindset

Key Requirements

  • Proven experience building data platforms and pipelines
  • Strong data engineering fundamentals
  • Experience scaling data systems
  • Hands on experience with AWS data services
  • Production experience using dbt
  • Solid SQL expertise and proficiency in Python
  • Experience implementing data quality frameworks
  • Understanding of data security, privacy, and compliance
  • Exposure to ML/AI data pipelines

Work Rights

Not specified

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