Full Stack Web Developer

ABOUT THE ROLE

• Work with the team on development and management of applications focused on forecasting, ordering, production, staff planning, transport and online.
• A hands-on role to deliver applications working with other staff and partners.
• Collaborate with cross-functional teams to design, develop, and implement scalable and reliable cloud applications.
• Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and AI-driven solutions for real-world applications.
• Monitor and maintain application performance, ensuring high availability and reliability.
• Mentor and guide other developers, fostering a culture of continuous learning and improvement.
• Develop effective working relationships with colleagues within and beyond Technology to ensure that a consistent, high-quality service is delivered.

AND YOU THE MISSING INGREDIENT

• Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field.
• Minimum of 1+ years of experience in coding with Python and React.js.
• Knowledge of databases (SQL & NoSQL) and API development/integration.
• Familiarity with enterprise architecture design and delivery (Azure, GitHub, etc).
• Proven experience in building cloud applications using Microsoft Azure / cloud.
• Strong interest in data science and analytics.
• Excellent problem-solving skills and attention to detail.
• Knowledge of effective business analysis - ability to gather, document, and analyse business requirements effectively and the experience creating user stories, process flows, and wireframes.
• Ability to work effectively in a fast-paced, dynamic environment.
• Strong communication and collaboration skills.
• "Can do" outlook and approach to work.
• Demonstrate the ability to think around issues and look at the bigger picture to provide solutions through a variety of problem-solving techniques.
• Ability to prioritise issues according to business needs, and to escalate when necessary/appropriate, and problem solve

Preferred Qualifications:

• Experience in manufacturing, retail or hospitality industries.
• Knowledge of other programming languages and frameworks.
• Interest and experience with AI solution engineering
• Interest and experience of data analytics and data pipelines.

BENEFITS BAKED IN

• Free food and drink when working
• 50% off food and drink when not working
• 25 days holiday + Bank holiday
• Pension Scheme
• Discounts and Savings from high-street retailers and restaurants
• 24 hour GP service
• Cycle to work scheme
• Twice yearly pay review
• Development programmes for you to RISE with GAIL's