Digital Data Engineer (@one Alliance)

RSK Group
Norwich
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (Microsoft Fabric)

AWS Support Engineer / Data Engineer Telecom Domain

Senior Data Engineer

Lead Data Engineer

Lead Data Engineer

Junior 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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.