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Software Engineer

PRODA LTD

England

Hybrid

GBP 45,000 - 65,000

Full time

Today
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Job summary

A leading software company in the UK is seeking a Software Engineer to join their team, focusing on the automatic extraction and classification of financial data documents. Ideal candidates will have a strong background in problem-solving with expertise in Python and full-stack development. The company offers flexible hybrid working options, professional development opportunities, and a supportive culture that values efficiency and collaboration in achieving results.

Benefits

Flexible Hybrid working options
Stock Options in the Business
25 days base holiday
Full zero-excess Private Health & Dental Insurance
Generous Pension Schemes
Opportunities for Professional Development

Qualifications

  • Proven experience in solving complex problems, ideally in data extraction and modelling.
  • Comfortable solving problems from algorithms and data structures to system design.
  • Ability to work independently as well as part of a collaborative team.

Responsibilities

  • Develop flows for extraction of data from financial documents in PDF and Excel formats.
  • Drive the development of automation focusing on speed, accuracy, and applicability.
  • Communicate findings and recommendations to technical and non-technical stakeholders.

Skills

Problem solving
Python expertise
Full-stack development
Strong project management

Education

Bachelor’s degree in computer science, mathematics, physics or related STEM discipline

Tools

TypeScript
React
Cloud platforms
Job description
About PRODA

At PRODA (www.proda.ai) we are building software to unlock the full potential of Real Estate Data no matter the asset class, language, or country of origin.

Our solution leverages the latest technologies to automatically capture, standardise and quality check Real Estate data into a single, clean source of truth. The goal is to empower real estate professionals to quickly gain actionable insights from their data and to enable the effective use of software.

Despite being the biggest asset class in the world, the commercial real estate industry relies on excel & PDF “Rent Roll” documents as the primary means of exchanging data. These files are frequently inconsistent, inaccurate, and inaccessible, posing challenges for real estate professionals. Through automated data capture, standardisation, and analysis, PRODA can:

  • Build repositories of clean, standardised data
  • Increase process efficiency, through faster report generation
  • Improve data-driven decision making, by ensuring the accuracy of input data

PRODA easily integrates with existing systems, to ensure consistent dataflow through the whole organisation.

Founded in 2017 by Charles and Peter, two former Real Estate Finance Investment professionals, PRODA is now 66 people strong, and is looking to expand rapidly following a successful Series A raise in Q2 2022.

PRODA has a strong globally recognised client base with an even better sales pipeline. We are looking for you to join us on our exciting journey delivering best-in‑class software to the Commercial Real Estate market globally.

Role

We are looking for a Software Engineer to join the team at PRODA that works on the automatic extraction, classification, standardisation and validation of financial data documents in commercial real estate. We encourage candidates of all experience levels to apply, including recent graduates and those with several years of relevant work experience.

Responsibilities
  • Develop flows for extraction of data from financial documents in PDF and Excel formats.
  • Work with a generalised data model, and a process to convert extracted data into that using standardisation and validation steps.
  • Drive the development of automation with a focus on enhancing speed, accuracy, and applicability.
  • Stay abreast with emerging technologies and industry trends in financial data reporting and requirements of clients.
  • Clearly and concisely communicate findings and recommendations to both technical and non-technical stakeholders.
Required Skills & Qualifications
  • Bachelor’s degree in computer science, mathematics, physics or another relevant STEM discipline.
  • Proven experience in solving complex problems, ideally in data extraction and modelling.
  • Comfortable solving problems at every level, from algorithms and data structures to system design.
  • Expertise in Python.
  • Experience of full-stack development.
  • Ability to work independently as well as part of a collaborative team.
  • Strong project management skills with the ability to meet deadlines.
Preferred Skills & Qualifications
  • Experience with TypeScript and React.
  • Experience with cloud platforms.
What We Offer
  • Opportunity to learn and grow in a fast‑paced, cutting‑edge environment.
  • Access to the latest technology and tools to make you productive, including the latest MacBooks, along with AI tooling.
  • A supportive environment with a focus on professional development and growth.
  • A culture that values simplicity and efficiency in solving problems and delivering solutions.
Working at PRODA

As a rapidly growing SaaS business, life at PRODA is fast‑paced and collaborative. Our day‑to‑day work is solving interesting problems using smart technologies, and we pride ourselves on an environment where we can rapidly develop new skills, learn from each other, and truly see the impact of our work.

We believe that our product is transformative, and we work hard to ensure it reaches its potential. Our team is our greatest asset: we are a close‑knit group who pull together to achieve our goals, but we also have fun!

Benefits & Amenities
  • Flexible Hybrid working options
  • Stock Options in the Business
  • 25 days base holiday
  • Full zero‑excess Private Health & Dental Insurance, Includes Couple and Family plans
  • Generous Pension Schemes
  • Opportunities for Professional Development + Learning Sessions

PRODA treats people fairly. We are an equal opportunities employer and view all applications equally, regardless of gender, colour, ethnic background, religion, disability, age, sexual orientation, gender reassignment or marital / family status.

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