Data Engineer in Leeds)

Corecom Consulting Limited
Leeds
8 months ago
Applications closed

Related Jobs

View all jobs

Mid Level Data Engineer

Data Engineer

Python Data Engineer

Data Engineer - HealthTech

Lead Data Engineer

Data Engineer - Celonis

Data Engineer (MS Fabric) / Remote with travel to Yorkshire or London / £45,000 - £55,000

Are you a Data Engineer with solid SQL skills and experience building tabular models? Want to join a business investing in its cloud journey, where you'll help modernise data platforms and influence core business reporting?

This is a great opportunity to enhance your technical capability while contributing to meaningful projects across logistics, ERP, and finance systems.

What do we need from you?

* Strong SQL - able to write efficient queries and build ETL processes

* SQL Server / RDBMS experience

* Proven experience building Tabular models

Nice to have:

* Exposure to Microsoft Fabric

* Python scripting

* Experience working in a cloud environment (e.g., Azure)

You'll be joining a collaborative data function to expand and optimise existing tabular models. The business already has strong models across finance and stock and now needs support to extend these into areas like fleet, transport, and logistics. You'll also help with modernising legacy models, supporting system changes, and contributing to their ongoing cloud transition via Microsoft Fabric.

Key focus areas:

* Enhance and build tabular models, especially around underdeveloped areas such as fleet data

* Support integration and modelling around Core ERP, Transport, and Logistics systems

* Help scale and transition to Microsoft Fabric as part of the company's cloud journey

* Improve performance and efficiency of existing architecture to meet growing user demand

Day-to-day responsibilities:

* Work closely with Business Analysts to turn business requirements into robust technical solutions

* Spend 60-70% of your time on model development, with the remainder focused on support and optimisation

* Re-engineer legacy tabular models to improve performance

* Adapt models in response to system or source data changes

* Deliver traditional ETL and modern data modelling support to the wider business

Why join?

* Clear career and skill progression opportunities

* Excellent team culture with strong employee tenure

* Opportunity to broaden your technical stack - training, certifications, and hands-on project work

* Remote working and hybrid working options which provide a great work-life balance

If you're interested, please send your CV to Dominic Brown at by close of play on Friday 25th July, to avoid disappointment, as interviews will follow shortly after.

"At Corecom, we don't just accept differences, we celebrate them and thrive on them for the benefit of our employees, our clients and our candidates. Internally, we thrive from our differences and want our employees to be proud to be themselves and proud to be Corecom. Externally, we utilise those differences to help our clients and candidates strive for a more diverse and inclusive world.

Data Engineer (MS Fabric) / Remote with travel to Yorkshire or London / £45,000 - £55,000


#J-18808-Ljbffr

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.