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| Job Location | London |
| Education | Not Mentioned |
| Salary | £70,000 - £90,000 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
Data EngineerQuantitative Trading - LondonOne of the worlds leading online CFD and financial spread betting providers is looking for a talented Data Engineer to join their business in London and support Data Science team.ROLE AND RESPONSIBILITIES- Working alongside a small team of Data scientists whilst collaborating with internal teams (Development & IT production) and third-party service providers- Own production processes; maintain, improve, and develop batch jobs scripts for Data/model pipelines. Take data science proof of concepts and write production code.- To be commercially minded and results focussed with an ability to effectively prioritise, estimate and plan workloads to meet demanding deadlines- Support scaling of current infrastructure; keeping abreast of the latest technologies, current business (data) model and relevant transformations required- Working closely with the rest of the team in standardising codebase (for modelling pipelines) and data queries (defining variables) in the interest of speeding up deliveriesKEY SKILLS AND EXPERIENCE- Strong Python development skills and solid Unix scripting skills- Highly experienced with containerisation and virtualisation (e.g. Docker, Kubernetes, VMs etc.), Understanding of engineering best practices, agile development processes and version control- Experience using one of Relational Databases (Oracle, Postgres, Sybase or SQL-Server) and/or exposure to high frequency tick programming software – HDF5, KDB+ or OneTick- Experience in distributed computing frameworks (Dask and Spark) and exposure to any one of parallel programming frameworks (MPI, OpenSHMEM, Charm++ and Legion)- Experience with monitoring production data workflows with all aspects of CI/CD- Strong communications skills and ability to work with subject matter expert to extract critical business concepts- A Bachelor’s degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)