Data Engineering Specialist

Ansty, Warwickshire
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Business Intelligence & Data Engineering Lead

Data Engineer (Azure Data Platform)

Senior Data Engineer

Data Engineer (Big Data/ Hadoop/ Spark Dev)

Data Engineer

Cadent Gas Ltd

Shape the future of Data at Cadent  

We’re looking for a Data Engineering Specialist to help us deliver on our ambition to become a truly data-driven business. This is more than a technical role – it’s your opportunity to shape how we capture, connect, and use data across one of the UK’s most vital utility networks.

At Cadent, we’re not just moving gas. We’re enabling the future of energy – safely, sustainably, and intelligently. That journey starts with data. From regulatory reporting to real-time operational insights, the way we manage, model and move data has a direct impact on our people, our performance, and our customers.

As a Data Engineering Specialist, you’ll be at the core of our growing Data team within the Chief Information Office (CIO). Working in high-performing teams, you’ll build high-quality, enterprise-level data models and pipelines using SAP Datasphere, Databricks, and other cutting-edge tools. Your work will underpin analytics, dashboards, and innovations in AI and machine learning and ultimately help us make better decisions, faster.

We’re building something powerful. Come and help us make it real.

Why you'll love this job:  

We’re transforming how we think about and use data, and you’ll be part of the engine room. This is your chance to work with modern tools in a cloud-first, agile environment, develop your skills alongside experienced engineers and architects, create real business impact through smarter data design, be part of a positive, inclusive, forward-thinking culture, and help drive the energy transition for the UK.

Model & design - Build reusable, enterprise-level data models using SAP Datasphere
Code & create - Develop complex SQL and ABAP CDS views for analytics and reporting
Transform & optimise - Use PySpark and Databricks to manipulate big data efficiently
Automate & schedule - Manage workflows, jobs and clusters for scalable data processing
Collaborate & deliver - Engage across agile teams to build high-impact solutions  

What you'll bring: You’re curious, collaborative, and deeply technical. You love solving complex problems and transforming raw data into structured insights.

Experience in building data pipelines and models in SAP Datasphere or SAP BW4/Hana  
Advanced skills  in SQL, data modelling, and data transformation  
Familiarity with Databricks, Apache Spark, PySpark, and Delta Lake  
Agile mindset with experience in DevOps and iterative delivery  
Excellent communication and stakeholder engagement abilities    

Sound like a fit? Let’s build the future of data at Cadent – together

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.