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Senior Data Engineer

Nigel Wright Group
M25Ad, M2 5AD, United Kingdom
2 weeks ago
£80,000 pa

Salary

£80,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Senior
Education
Degree
Posted
13 May 2026 (2 weeks ago)
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The Opportunity:

This fast-growing healthtech scale-up is transforming how organisations understand and act on real-world feedback data. Their platform aggregates and processes millions of unstructured data points from external sources, turning them into meaningful insights that drive decision-making across large enterprise clients.

Following recent investment and a strategic shift towards international growth, the business is entering an exciting new phase of development. As part of this journey, they are looking to appoint a Senior Data Engineer to play a key role in evolving their core data platform.

This is a rare opportunity to join a small, high-impact team, taking ownership of critical systems and helping shape how data is collected, structured and used across the organisation.



The Role:

As Senior Data Engineer, you will take a hands-on leadership role in the development and optimisation of a modern, cloud-native data platform.

Working closely with engineering, product and data science teams, you will be responsible for designing scalable data pipelines, improving platform performance and shaping best practice across the data function. This is a role with genuine ownership — not just maintaining existing systems, but actively building and improving them.

This is a fully remote role (UK-based), offering flexibility alongside the opportunity to work on complex, high-volume data challenges.


Key Responsibilities
  • Own and evolve the organisation’s AWS-based data platform, including data lake, warehouse and modelling layers
  • Design and build scalable data pipelines ingesting large volumes of structured and unstructured external data
  • Develop infrastructure using Infrastructure as Code (CDK / Terraform)
  • Improve platform performance, scalability and reliability, ensuring production-grade data systems
  • Establish and promote engineering best practices including CI/CD, testing, documentation and monitoring
  • Collaborate with product and data stakeholders to translate requirements into robust technical solutions
  • Support the ongoing development of data architecture to enable advanced analytics and future machine learning use cases
  • Act as a senior technical voice within the team, contributing to design decisions and platform direction

About You:

We are looking for a hands-on, technically strong engineer who enjoys solving complex data problems and takes pride in building scalable, reliable systems.

You are likely to bring:

  • Strong experience working with AWS-based data platforms
  • Excellent Python and SQL skills, with a focus on clean, production-quality code
  • Experience designing and maintaining data pipelines at scale
  • Solid understanding of data modelling, data lakes and warehouse architectures
  • Exposure to Infrastructure as Code and CI/CD workflows
  • A proactive, ownership mindset and the ability to work independently in a fast-paced environment

Desirable:

  • Experience building or maintaining web scraping / external data ingestion pipelines
  • Exposure to machine learning workflows or data science environments
  • Previous experience working in a startup or scale-up setting

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