Job Overview

Apply now Data Engineer (Python NumPy SciPy Pandas). Successful FinTech start-up is seeking a highly technical Data Engineer with Python coding skills. Their capital market tools are used by Investment Banks and independent research providers to automate and analyse client service and research consumption, presenting a complete overview of the client relationship made available via the Cloud. As a Data Engineer you will work within an Agile development team across the entire product lifecycle, you'll shape new features, deliver product updates, prototype new ideas and approaches with a focus on data flows and analytics. This Data Engineer role presents an excellent opportunity to build cutting edge tools; learn how to effectively summarise and visualise / present data to provide the user with deeper understanding and insight.Offices based close to the Silicon round-about with a calm, relaxed working environment; you'll be working as part of a small, friendly technology team and will be encouraged to try new things and continuously learn. Requirements:*Experience of working with large data sets, ideally with experience of analysis and data visualisation as well as the ability to find and exploit patterns in data*Python development experience (ideally including Flask)*Experience working with the PyData stack (NumPy, Pandas, Scikit-learn, SciPy)*SQL and NoSQL experience *Meticulous attention to detail *Interest / appreciation of Machine Learning techniques*Collaborative team member with great interpersonal skillsAs a Data Engineer you will earn a highly competitive salary (to £80k) plus options. Apply now!

Key Requirements

sql python numpy fintech pandas