About Us

Edgefolio is a B2B FinTech scale-up, building the technology that connects the fund management industry. We are a venture-backed team of innovators and engineers, bringing the industry online by creating best-in-class digital solutions for the worlds leading investment managers.

Edgefolio is being scaled by people all around the world who share our vision. We are an experienced tight-knit team with a strong focus on entrepreneurship, delivery, and scale.

We believe in empowering our teammates in their work, giving them autonomy and ownership of what they do. We want everyone at Edgefolio to own their story and their successes – all our team members are hugely valued and important members of our company’s journey.

What we’re looking for

Edgefolio is now recruiting for a Data Engineer, tasked with helping different stakeholders generate accurate and insightful analytics data to make sound business decisions. The successful applicant will join a technology and product data team working alongside the CTO, technical Co-Founder and Enterprise Client Partner, focused on analysing and delivering product and user behaviour insights derived from complex user data sets. You will sit in our Product team and report to our Co-Founder, Harish.


Product and Client Analytics

  • Learn and help define which data that truly supports business decision making for the organisation and its clients
  • Define and extract key data sets to construct analysis on client and product performance.
  • Set up and manage analytics software like Mixpanel, Azure Application Insights, Google Analytics etc. to create insightful dashboards and other visualisations
  • Collaborate with client-side users (both business and technical) to accurately identify areas of high and low product adoption
  • Participate in data driven analysis and allocation of technical resources, in line with product roadmaps
  • Implementing high quality and client ready visualisations of complex data, for regular client consumption, eg. via dashboards

Data Engineering

  • Implement scalable and reliable data engineering solutions (in Python) for moving and transforming data efficiently across systems
  • Assisting with sourcing and transforming data and exporting it as REST APIs for downstream interoperability
  • Produce detailed and high-quality documentation detailing design and behaviours of data infrastructure


  • 5+ relevant years experience
  • Degree educated in a relevant field
  • Working knowledge of data quality approaches and techniques
  • Good experience with data manipulation and automation in Python
  • Experience with some Microsoft Azure data services
  • Good awareness of Information Security principles and practice within these responsibilities
  • Commercial awareness for business teams trying to determine ROIs of various projects
  • A high technical aptitude and strong attention to detail
  • Collaborative, with strong communication skills
  • Self-starter with ability to work autonomously in a remote environment
  • Client-focused approach, where user experience matters

Desirable skills

  • Experience with Django ORM queries
  • Product management, product analysis or statistical product adoption experience (SaaS)
  • Building simple statistical and machine learning models
  • Experience presenting and communicating data to clients in financial services
  • Basic understanding of the hedge fund and asset management space


  • Compensation package including base + equity options
  • Company pension plan
  • Flexible, independent and remote-first working environment
  • A new MacBook + home office budget or a co-working space membership
  • Enhanced maternity and paternity leave
  • Paid time off for business training
  • Bike to work scheme
  • Mental health support program
  • Quarterly in person social events
  • Work anniversary day-off
  • Perks package incl. discounts at 30,000 brands such as Samsung, Dell & John Lewis
  • Huge opportunities for growth and role expansion
  • Bring your dog to work!

How to Apply

If you are interested in this role, please send your CV to careers@edgefolio.com, and we’ll be in touch within 5 working days. We look forward to hearing from you!

Edgefolio is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.