Who We Are and What We Do: Inside Jumping Rivers

At Jumping Rivers, we combine engineering, automation, and analytics to streamline your data workflows and make them more efficient. We take care of the tasks you don’t have the time or capacity for, improve processes you might not even know could be optimised, and work alongside your team to make your data and engineering operations easier and more effective. From pioneering startups to established organisations, we help our clients harness the power of data to work smarter and faster.

Who We Are

We’re a team of passionate problem-solvers, technologists, and analytics experts. Jumping Rivers isn’t your typical consultancy; we turn technical expertise and hands-on experience into measurable impact for our clients.

Our Expertise

Our team spans multiple disciplines, making us uniquely positioned to tackle any data challenge:

• Data Science: AI, predictive modelling, machine learning, automation, and advanced analytics that uncover actionable insights.
• Engineering: Robust, scalable pipelines, infrastructure, and automation to ensure your data is accurate, accessible, and efficient.
• Cloud & Infrastructure: Expertise spans leading cloud platforms including AWS, Azure, Kubernetes, and Databricks. We design and manage secure, scalable, and high-performance cloud solutions that support complex pipelines, automated workflows, collaborative analytics, and AI/ML deployment. This ensures your data is reliable, accessible, and ready to drive actionable insights, both now and as your organisation grows.
• Dashboards & Shiny: Development, maintenance, and support of Shiny applications and interactive dashboards, delivering insights in an accessible and actionable format.
• Training: Bespoke sessions in R, Python, SQL, and more, empowering your team with the skills to thrive in a data-driven world.

Our Partners

We collaborate with industry leaders like Posit and Databricks, giving us and our clients access to cutting-edge tools, platforms, and innovations. These partnerships help us stay ahead of the curve and ensure our work is as forward-thinking as it is practical.

How We Handle Enquiries

We do things differently. When a client reaches out, our process is designed to ensure their specific needs are met:

1. Prompt Email Response: We acknowledge every enquiry quickly and professionally.

2. Discovery Meeting: We discuss the client’s challenges, goals, and context to fully understand the problem.

3. Custom Proposal: We craft a tailored solution that fits the client’s objectives, budget, and timeline and not a one-size-fits-all approach.

This personalised approach is why clients keep coming back. We don’t just deliver projects, we deliver results that make a real difference for teams and organisations.

Shiny in Production Conference

We’re proud to bring the data community together with our annual Shiny in Production conference. Our next conference takes place 8th–9th October in Newcastle, featuring inspiring talks, hands-on workshops, and unrivalled networking opportunities with leaders from large organisations.

Why We’re Different

Jumping Rivers is more than a consultancy. We combine deep technical expertise with a personalised, client-focused approach. We handle the complex, time-consuming, and high-skill tasks that make your team’s work easier and more effective. When you work with us, you’re not just hiring a service, you’re gaining a partner committed to making your data and engineering operations smarter, faster, and more impactful.

Our People: Experience, Growth, and Teamwork

At Jumping Rivers, we believe that great work starts with a great environment. Our team thrives in a supportive, welcoming culture where curiosity is encouraged, collaboration is the norm, and everyone’s voice is valued. We place a strong emphasis on team building and shared learning, creating opportunities for colleagues to grow their skills, share ideas, and tackle challenges together. It’s a place where innovation, positivity, and mutual support drive both personal and professional growth.

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