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
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Principal Geospatial Data Engineer

Graduate Data Engineer

Graduate Data Engineer

Lead Data Engineer

Graduate 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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.