Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Digital Data Engineer (@one Alliance)

RSK Group
Norwich
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Senior Data Analyst

Data Engineer

Data Engineer, Prime Video Core Analytics and Tooling

ML Data Engineer

Platform Data Engineer

Binniesan RSK Group company is looking for aDigital Data Engineerto join us as part of our@one Alliance. 

What will you be doing as our new Digital Data Engineer?

You will play a key role in managing the data requirements for the @one alliance as part of our Alliance Digital Team. You will ensure the Alliance’s data exploration’s data needs are met by acquiring data from various sources, variable engineering and using data science techniques to add value to the process.  Working alongside our suppliers Autodesk, Microsoft, ESRI as well as world class academic institutions you will have an opportunity to make a real difference supporting the capability that delivers hundreds of projects across the region for years to come. 

Sound exciting?  Then read on:

Key responsibilities:

Digital Implementation:

  • Contribute to the successful implementation of new digital platforms and new functionality within existing systems.

  • Ensure the outputs of models are made available in the Azure data lake and assist with industrialising the outputs in the data warehouse. 

  • Manage and administrate our existing APIs to pull and push data between our various platforms and ensuring alignment.

  • Create/contribute to case studies for successful trials and implementations.

  • Working with other members of the digital team and appropriate stakeholders you will assist in the linking of platforms to ensure that manual intervention is kept to a minimum and data integrity is maximised.

Platform Support:

Our platforms are utilised by a diverse user base including @one, partners, supply chain and AW. As you become an expert in the alliances digital platform you will be expected to:

  • Offer end user support.

  • Manage calls to the providers Service desks where applicable.

  • Assist superusers/platform champions in making sure that everyone is kept up to date in changes to platform functionality, considering the roadmaps created by platform leads.

  • Deliver periodic and ad hoc refresher training as the need arises.

Process Improvement

  • Become an expert in the alliance’s digital platforms you will be best placed, working with the department/function, to look at how business processes can be altered to work in harmony with the system’s functionality.

  • You will learn to and then implement process changes driven by this functionality, obtaining buy in from users and showing them how it works whilst ensuring that any runbooks are kept up to date.

A little bit about your skills, experience and behaviours….

To be considered for this position, ideally you have exposure/experience in Implementation, particularly in SaaS products and experience in the management and support of business systems.  You will come from an environment where exploitation of software solutions to improve business efficiency is key.  Although experience in a specific industry is not essential Water Industry experience will be a distinct advantage.

More importantly is your willingness to learn systems and config, and interest in the project life cycle.  You’ll use your technical, commercial and customer facing skills to grow in this position, and your willingness to support end users will ensure you are the go-to person for support.  Your positive team working attitude and good communication skills and focus on process improvement will ensure you stand out in a crowd!

If this position excites you and most importantly you have the aptitude to make a difference apply today!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.