Quant Capital is urgently looking for a Data Engineer to join our high profile client.
Our client is a current member of the fintech50 and proud to be known as best in disruptive payments technology. It is a truly cutting edge tech firm with 50 people and a dev team of 7. This week they received a further $40 million investment and are hiring aggressively.
The atmosphere is casual with a startup feel although the business is the world’s largest dedicated payments business (in terms of tech and market share).
This role is expansionary due to a brand new international platform being created. Currently a data warehouse and data cube are being built by an external company mainly using PostGreSQL. The Data Engineer will come in to manage this cube and work with internal business teams in presenting and using this data. The role has 2 elements both data display and business side data / requirements gathering.
The role offers both the ability to work technically as well as work with the leadership team in shaping how the business uses data from its clients and the market.
The firm has ambitious plans over the next year so needs a Data Engineer who can truly use data for client benefit and internal marketing.
Data Engineers / Data Scientists must have: (Below also shows tech stack)
2 years plus commercial experience
Comp Sci or Similar Degree
Ideally Mondrian or Psyks (MDX)
Computer Science Background
Exposure to OO programming or Scripting
Basic Comp Sci principles
Experience of building / using a data warehouse / data cube
This is a unique opportunity for someone to expand further into web and ecommerce strategy. You should be driven and interested to gain some serious financial experience. This is a bleeding edge business so if you can make a usability case they will buy it.
Flipflops and tshirts are perfectly normal for the office.
My client offers one of the best training and development packages in the market, all inclusive.
My client is based near Hammersmith
Data Science, BI, SQL, Business Intelligence, SSIS SSRS, Data Warehousing, Business Analyst