Senior Data Engineer
London
12 Months Contract
£1000 per day via umbrella company
This role is to join the Data and Analytics team.
Our team setup:
· Our services form a core part of the eRisk (electronic Risk) business and are the golden source of MI and analytics for quants, sales and trading. The platform uses KDB+ to facilitate quantitative research and back testing, and also serves a number of regulatory reports and compliance alerts
· Our application is responsible for capturing, storing and analyzing data in excess of 5billion records per day from a large number of FX electronic trading venues, as well as internal pricing and trading data
· We run hundreds of services concurrently in production and perform multiple releases per day
· There are increasing demands for services built within the application. The successful candidate will join a global team working out of London, Hong Kong and Krakow
If your goal is to:
· Develop scalable, high-performing software and engineer services which handle billions of records, analyse large datasets and find value in the data
· Work heavily with KDB+/q and how this is applied to data engineering
· Be part of a diverse and global team who focuses on fast delivery and user experience
· Understand the business context of what we do and engage directly with Traders and Quantitative Analysts as well as other Technologists
If you have:
· An analytical mind and are excited about solving complex data engineering problems, with strong computer science fundamentals and a deep understanding of the q language
· A demonstrable passion for technology and automation, optimizing and improving solutions
· Demonstrable interest in understanding data and how to combine and present it in various ways, dealing with large datasets and some basic statistical concepts
· Knowledge or interest in Linux and Cloud Infrastructure services, e.g. GCP
· Aptitude for understanding requirements by talking directly to Traders and Quantitative Analysts and solving problems through proactive and collaborative engagement with teammates, owning a change from inception, to testing and releasing it to the users
· FX/quant and trading/ Financial markets, building analytics for business performance/ quant research/ python knowledge/ Performance resilience systems/ large scale data sets/ Build and develop infrastructure/ Multi faceted.
Essential experience/skills (3 minimum)
· Familiarity with product KDB + in financial markets
· Low latency trading environment / analyse traffic/ extracting MI from data sets/ equities
· 5 years +
· Analytical
· Practical experience essential
· Strong Q
Desirable experience/skills
· Python
· Java