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Principal Engineer

Robert Walters
Posted 10 hours ago, valid for 15 days
Location

Norwich, Norfolk NR8 6PW, England

Salary

£95,000 per annum

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • I am recruiting for a Principal Engineer at a fintech startup that is entering a new phase of growth after recent funding rounds.
  • The role involves designing scalable data pipelines, applying machine learning, and collaborating with cross-functional teams.
  • Candidates should have a BSc, MSc, or PhD in a related field, along with strong experience in data engineering and machine learning.
  • The position offers a competitive salary of up to £95,000 per annum, plus equity in the business.
  • This is a hybrid role with remote work and occasional travel to Norwich required.

I am currently recruiting for a Principal Engineer for a fintech startup that's been making waves for the last four years, and thanks to recent funding rounds and private investment, they're entering an exciting new phase of growth. This platform leverages cutting-edge technology to deliver innovative financial solutions for content creators, and now, we're ready to unlock the full potential of data and machine learning.

Your Role

As the Founding Principal Engineer, you'll be at the heart of their data-driven strategy. You'll have the autonomy to shape the role and influence the direction of the business while working across the entire data lifecycle. From building robust data platforms to deploying machine learning models, your work will have a direct impact on the product and customer experience.

The perfect candidate would be a self-starter with a passion for data and a desire to make a real impact in a startup environment. You'll thrive on wearing many hats and rolling up your sleeves to tackle new challenges.

Key Responsibilities:

  • Design and implement scalable, efficient data pipelines and platforms using GCP.
  • Apply machine learning to existing models and develop new ones as their data grows.
  • Work closely with cross-functional teams, including product, engineering, and business stakeholders, to identify and solve data challenges.
  • Establish best practices for data engineering, analytics, and machine learning within the company.
  • Develop and iterate on prototypes and MVPs to test and validate models.
  • Be a pioneer of data innovation in the fintech space, mentoring others as the team grows.

Essential Skills & Experience:

  • BSc, MSc or PhD in Computer Science, Data Science, Applied Mathematics, or a related field.
  • Strong background in data engineering and machine learning engineering.
  • Proficiency in Python and experience with Django.
  • Expertise in GCP, AWS or Azure.
  • Strong data visualization skills, with experience in Matplotlib (or similar).
  • A track record of building scalable data pipelines and deploying machine learning models.
  • Excellent communication and collaboration skills.

Nice to have:

  • Previous experience in fintech or startup environments.
  • Knowledge of financial modeling or analytics.
  • A genuine passion for innovation and technology.

The role is offer a Competitive Salary: Up to £95,000 per annum, plus a share in the business in the form of equity. The role is Hybrid so you can work remotely with occasional travel to Norwich (once or twice a month).

Apply within if this role sounds exciting to you!

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.