Job Title: Senior Full Stack Engineer
Reports to: Engineering Manager
Type: Full-time permanent
Salary: £61,000 – 78,000
Company Overview
QuantSpark transforms organisations through Analytics and AI. We supercharge high-value, complex processes to drive operational efficiency and profitability. As markets face greater disruption, QuantSpark empowers companies in realising their competitive advantage through data, strategic insight, and AI. QuantSpark prides itself on combining creative thinking with analytical rigour.
Work Environment
We believe in offering a flexible, hybrid working environment. We are looking for candidates interested in a hybrid role that allows flexibility and those that share our commitment to come onsite to our office for a minimum of two days per week. As a rough guideline, our team collaborates in person, at least half of the time.
The Role
As a Senior Full Stack Engineer, you will develop client-facing functionality, such as web applications and API endpoints. From detailing requirements, designing, and developing a solution to testing and validating that the solution does match user expectations. You will work both on the backend (e.g., Python/API endpoints) and frontend (e.g., Typescript/React) of features while also being an example to others on project teams by demonstrating the appropriate decision making around and implementation of design patterns, paradigms, and application architecture.
The 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, TDDExperience 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 stakeholdersBeneficial Skills
The following skills are not essential but would be beneficial:
Experience with AWS services (S3, Redshift, RDS, Lambda, EC2, ECS, EKS)A keen eye for good user interface design and user experienceExperience 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 effectivelyAbility to take ownership and manage new and existing workstreamsBenefits £6,000 per annum training & conference budget to help you upskill and elevate your careerPension contribution scheme (up to 12% overall)Top tier Private Healthcare with Vitality on usNumerous perks, discounts, and rewards with major retailers, gym memberships, technology, and travel partnersParticipate in our Share Options schemeAbility to work from abroad for up to one month each year25 days of annual leave (not inclusive of Bank Holidays)Cycle to work schemePlenty of socials, dinners, and fun nights outA fully stocked supply of breakfast, fruit, and refreshments in the officeEqual Opportunities
QuantSpark is an equal opportunities employer and as such makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, gender, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability.
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