Senior Full Stack Developer - Javascript, React.js, Python with Flask/Django

June 27

🏢 In-office - London

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Logo of QuantSpark

QuantSpark

Creating strategic value through advanced analytics.

Data Science • Data Analytics • Product Development • Location Intelligence • Innovation

51 - 200

Description

• Full Stack Engineer (Python programming with Flask or Django) • Engineering Manager • Unmatched L&D budget - Unrivalled monthly training & conference budget to help you upskill and develop your career (£6,000 per year) • Flexible hours - Flexible hours policy and hybrid working; work from home or our office • Work from abroad - Our work from abroad policy means that being a digital nomad is a reality for our team members. Work from abroad for up to one month per year • Private medical insurance - Full cover insurance with Vitality on us, includes dentist cover • Holidays - A well-rested team member is a happy team member, we will encourage you to take the full 25 days holiday + bank holidays • Anniversary bonuses - As a scaling business we're always looking for ways to reward people who continue to grow with us so we have anniversary bonuses applicable on both year 2 and 3 • EMI Shares - EMI Share Options Scheme from day one

Requirements

• Strong experience in Python web development (Flask/Django, Gunicorn and ORMs) • Strong experience in JavaScript front-end development (React.js, Typescript, Webpack, HTML, CSS) • Experience in database and caching technologies (e.g., PostgreSQL/MySQL, MongoDB, Redis) • Strong experience in unit testing, TDD • Experience in code management, branching strategies, and CI pipelines (Git, Bitbucket) • Knowledge of containerisation technologies (Docker, Kubernetes) • Excellent communication and interpersonal skills, with the ability to collaborate effectively with internal and external stakeholders • Experience with AWS services (S3, Redshift, RDS, Lambda, EC2, ECS, EKS) • A keen eye for good user interface design and user experience • Experience with Python packages used for data science (familiarity with Pandas, Numpy, Scikit, Tensorflow, etc) • Strong analytical and problem-solving abilities to identify and address technical issues effectively • Ability to take ownership and manage new and existing workstreams

Benefits

• £6,000 per annum training & conference budget • Pension contribution scheme (up to 12% overall) • Top tier Private Healthcare with Vitality on us • Numerous perks, discounts, and rewards with major retailers, gym memberships, technology, and travel partners • Participate in our Share Options scheme • Ability to work from abroad for up to one month each year • 25 days of annual leave (not inclusive of Bank Holidays) • Cycle to work scheme • Plenty of socials, dinners, and fun nights out • A fully stocked supply of breakfast, fruit, and refreshments in the office

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