Salesforce Developer

Leicester
1 month ago
Create job alert

Salesforce Developer - Drive Digital Transformation

Are you ready to take the reins on a major Salesforce transformation journey? We're working with a fast-growing, future-focused organisation that's investing heavily in people, technology, and innovation-and they need a Salesforce superstar to help power their success.

This is your chance to step into a high-impact Salesforce Developer role, working across multiple business units in a centralised service function. You'll be reporting directly to the Director of Operations and Change, shaping the roadmap, driving best practices, and delivering cutting-edge solutions using Salesforce and Omnistudio (Vlocity).

🌟 Why You'll Love This Role:

Be at the forefront of a digital transformation journey

Take ownership of architecture and technical delivery

Step into a strategic leadership position, mentoring a team and influencing decisions

Cut out third-party noise-build high-value solutions in-house

Work in a supportive environment where your expertise drives real business impact

đź”§ What You'll Be Doing:

Lead the design, development, and implementation of scalable Salesforce solutions

Provide expert-level guidance on Salesforce architecture, configuration, and integrations

Leverage your Omnistudio/Vlocity skills to build powerful, user-friendly tools

Collaborate with stakeholders to translate business needs into actionable technical solutions

Drive best practices across code quality, testing, deployment, and performance

Automate business processes using Flow, Process Builder, Workflows, and more

Support and guide the Salesforce team with mentorship, code reviews, and documentation

Stay ahead of the curve with emerging tech and suggest enhancements to the platform

Deliver robust integration solutions using Salesforce APIs and middleware tools

đź‘€ What We're Looking For:

10+ years of hands-on Salesforce development experience

3+ years in a technical leadership role

Deep understanding of Salesforce platform, architecture, and ecosystem

Experience working with Salesforce E&U Cloud and Omnistudio (Data Raptors, Omniscripts, Integration Procedures)

Strong APEX, LWC, Visualforce, and API integration skills

A proactive problem-solver and strategic thinker

Clear communicator with the ability to bridge technical and non-technical teams

âś… Ideal Certifications:

Salesforce Certified Platform Developer I

Salesforce Certified Administrator

Salesforce Certified Data Architect

Salesforce Certified Marketing Cloud Account Engagement Specialist

📦 What's in It for You:

Competitive salary

Hybrid working model - flexibility built in

A leadership role where you shape the future of digital capability

Join a passionate, motivated team at a pivotal moment in their growth

Ready to lead from the front and build something extraordinary with Salesforce? Let's talk. This is more than a job-it's a chance to drive real transformation.

đź“© Apply now or reach out directly to learn more.

Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants

Related Jobs

View all jobs

Data Analytics Developer - March 2025

Group Director, Business Intelligence & Customer Master (Basé à London)

Group Director, Business Intelligence & Customer Master (Basé à London)

Data Analyst, AFRS

Business Development Director

Sales Development Representative

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.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.