Senior Data Engineer
Prolific Academic Ltd · Remote, UK · posted 58 days ago
Going rate £54,700UK median £56,914
Home Office going rates
Occupation
2134Programmers and software development professionals
Going rate for this occupation: £54,700 · UK median pay £56,914
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£51,064 to £72,018estimated
- Going rate£54,700
- UK median£56,914
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £32,835 |
| 25th | £42,289 |
| 50th | £56,914 |
| 75th | £75,794 |
| 90th | £102,860 |
| Going rate | £54,700 |
| UK median | £56,914 |
Sponsorship
Sponsorship chance
High
- Licensed for Skilled Worker
- Occupation is eligible for Skilled Worker
- Estimated salary is below the going rate
On the public records we hold, sponsorship for this role looks likely: licensed for Skilled Worker, and occupation is eligible for Skilled Worker.
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Senior Data Engineer
Prolific
Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.
The role
We're looking for a Senior Data Engineer to help build scalable data solutions that serve teams across the business – from data scientists and analysts to AI engineers and product teams. You'll contribute to both the underlying platform and the way data is used in our products, working in a modern, cloud native environment where privacy, security, and good data practices are part of how we build.
What you’ll bring to the role
Technical Expertise: 3+ years building and shipping production grade data systems, with strong SQL skills and proficiency in Python or another object-oriented language (Java, Scala etc.)
Familiarity with cloud-native infrastructure
- ideally some exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools. We don't expect deep expertise in all of these, but comfort working in this kind of environment matters.
Experience designing data APIs or services that expose data to applications, or a strong interest in working across the analytical/operational boundary.
A thoughtful approach to data quality, privacy, and security
- you understand that how data is used is as important as how it's moved.
Strong collaboration skills and comfort working across teams with different priorities — engineers, data scientists, AI engineers, product.
A pragmatic, curious mindset
- you enjoy keeping up with the field and know when to reach for a new tool versus when to stick with what works.
Pipeline Management: Hands on experience with data pipeline tools (Airflow, dbt) and strong ability to optimise for performance and reliability.
Quality Focus: Commitment to continuously improving product quality, security, and performance through rigorous testing and code reviews.
Documentation: Meticulous approach to creating and maintaining architecture and systems documentation.
Problem-Solving: Exceptional analytical skills to troubleshoot complex data issues and implement effective solutions.
Information from public records, not immigration advice.