Full Stack Developer

Watford
3 weeks ago
Create job alert

Full Stack Developer
Location: Either Astral House, Watford WD24 4WW or Albion House, Horsham RH12 2RW
Working Hours: 40 hrs per week (Mon - Fri) 9am Start Time
Pay Rate: £400 - £500 per day
Vinci Construction is seeking an experienced Full Stack Engineer to support our AI and Data Science projects for an initial six-month contract
Responsibilities:

  • Work closely with the Head of AI, AI product and project managers, and business/technology stakeholders, to gather requirements and translate those to development tasks.
  • Plan product versions and releases.
  • Assist in the development of suitable and applicable processes for release management activities
  • Design, develop, and maintain controlled, robust and scalable Python-based web applications using Azure technologies, ensuring high performance and responsiveness.
  • Collaborate with data scientists to design and create intuitive and user-friendly interfaces that enhance user experience and engagement – developing in a consistent and transparent manner, enhancing and retrofitting the development process for in flight projects.
  • Collaborate with data scientists to create intuitive and user-friendly interfaces that enhance user experience and engagement – developing in a consistent and transparent manner, enhancing and retrofitting emerging development processes for in-flight projects
  • Ensure that all development tasks are logged and documented in a systematic and agreed manner on platforms such as Azure DevOps board, Microsoft Loop, SharePoint, ITSM tooling etc.
  • Ensure ongoing reliable knowledge capture through suitable documentation to support ongoing service operations and collaboration
  • Lead and participate in daily standups and weekly development planning meetings.
    Experience:
  • No fewer than 2 years working in a full-stack development role, practicing professional software development standards
  • No fewer than 3 years of experience building APIs and web applications.
  • Some experience in front-end technologies (HTML, CSS, JavaScript, frameworks such as React, or Angular).
  • No fewer than 3 years of experience in back-end development with technologies like Node.js, .NET, Python, etc.
  • No fewer than 5 years of professional experience.
  • Proven experience as a Full Stack Developer or similar role, with a strong portfolio of web applications deployed on cloud, preferably Azure.
  • Experience with Scrum and Kanban software development process

Related Jobs

View all jobs

Full Stack Developer

New Stack Developer

Software Engineer

Innovation Developer

Head of Development - Fintech SaaS. Full Remote

Head of Development - Fintech SaaS. Full Remote

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.