| London Jobs |
| Manchester Jobs |
| Liverpool Jobs |
| Nottingham Jobs |
| Birmingham Jobs |
| Cambridge Jobs |
| Glasgow Jobs |
| Bristol Jobs |
| Wales Jobs |
| London Jobs |
| Manchester Jobs |
| Liverpool Jobs |
| Nottingham Jobs |
| Birmingham Jobs |
| Cambridge Jobs |
| Glasgow Jobs |
| Bristol Jobs |
| Wales Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | London |
| Education | Not Mentioned |
| Salary | £75,000 - £95,000 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
Data EngineerFinancial Services- LondonOne of the worlds leading online financial spread betting providers based in the City of London is looking for a Senior Data Engineer to join their bussines and support Data Science team.You will be working within a small team of data scientists focusing on quantitative trading strategy and in the near future will have an opportunity to build and lead data engineering team to support wider business.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- Experience with monitoring production data workflows with all aspects of CI/CD- Highly experienced with containerisation and virtualisation (e.g. Docker, Kubernetes, VMs etc.), Understanding of engineering best practices, agile development processes and version control- Experience in distributed computing frameworks (e.g. Dask and Spark)- Strong communication skills and the ability to work with subject matter expert to extract critical business conceptsBENEFICIAL- Experience using one of Relational Databases (Oracle, Postgres, Sybase or SQL-Server)- Exposure to high frequency tick programming software – HDF5, KDB+ or OneTick- Exposure to parallel programming frameworks (e.g. MPI, OpenSHMEM, Charm++ and Legion)- A Bachelor’s or Master’s degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)