At a Glance
- Tasks: Manage data cubes and collaborate with teams to present and utilise data effectively.
- Company: Join a leading fintech firm known for disruptive payments technology.
- Benefits: Enjoy a casual startup vibe, competitive training, and development opportunities.
- Other info: Work in a dynamic environment with significant growth potential and a fun office culture.
- Why this job: Be part of an ambitious team shaping the future of data in finance.
- Qualifications: 2+ years in Data Engineering, experience with PostGreSQL, and a Comp Sci degree.
The predicted salary is between 60750 - 74250 Β£ per year.
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 worldβs 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 Post Gre SQL.
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)Proven experience in a Data Analysis or Engineering 2 years plus commercial experience Post Gre SQLComp Sci or Similar Degree Ideally Mondrian or Psyks (MDX)Computer Science Background Exposure to OO programming or Scripting Linux 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
Data Engineer β Fintech50 employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.