Data Systems Engineer

Location: Fully Remote (UK-based)
Salary: £45,000-£65,000 + 10% Bonus (Cash or Equity Options)
Sponsorship: Available (preference for PSW)
Hiring Manager: Billy Wildly, CTO

About Us
We're Oxford Data Plan , a fast-growing data science consultancy that's tripled in size since launching three years ago. Backed by $7.5M in Series A funding, we're now valued at $45M and are powering decision-making for over 150 clients-including household names like Just Eat, Deliveroo, and even Google and Meta. Our KPI tracking tools help investment firms identify when and where to invest based on predictive analytics and performance signals.

The Role
We're looking for a Data Systems Engineer to join our data science team. You'll be key to building and maintaining the Python libraries that power our core data products-enhancing performance, scalability, and engineering rigour. This is a great opportunity for someone with a data science background who wants to lean more into engineering.

Your Day-to-Day

• Design, test, and maintain Python libraries that support data scalability and robustness

• Build and enhance engineering systems (unit testing, CI/CD readiness, etc.)

• Collaborate daily with data scientists and engineers on the R&D and product teams

• Help the product team develop trackers and scalable data pipelines

• Work on tools for web scraping and evaluation, ensuring data integrity and usability

What We're Looking For

• 2+ years of hands-on experience in data or engineering roles

• Strong Python and SQL skills

• Experience working with or alongside data scientists

• Familiarity with AWS and cloud infrastructure

• Exposure to DevOps, Docker, and general engineering best practices (desirable)

• An engineering mindset with a passion for clean, scalable code

The Team
You'll be joining a 10-person data science team that works at the intersection of product development and R&D. It's a collaborative, cross-functional group building the next generation of data tools.

Interview Process

1. Technical Interview - Live Python + SQL coding with our Data Science Manager

2. Deep Dive - Technical chat with Billy (CTO) to explore problem-solving and systems thinking