Developer with Data Engineering focus

NG Bailey
Leeds
2 months ago
Applications closed

Related Jobs

View all jobs

Data Governance & Enablement Manager

Senior Data Engineer

Mid-Level Data Engineer

Lead Data Engineer

Data Engineer (Azure Data Platform)

Head of BI Business Intelligence and Data

Developer

Leeds – Hybrid  

Permanent  

Summary  

We’re currently seeking a multi-skilled developer to join our ICT team here in Leeds. Reporting directly to our ICT Development Lead, you’ll focus initially on Microsoft Fabric Data Engineering.  In this role, an ideal candidate will have a strong background in software development and will have demonstrated experience with one of the Azure Data Analytics platforms e.g. Fabric, Synapse or ADF. 

Some of the key deliverables for the role will include: 

  • Designing, developing and maintaining data pipelines within Microsoft Fabric, including Lakehouse, Data Engineering and Data Warehouse components 
  • Building scalable ETL/ELT workloads using Spark notebooks and Python, following data engineering best practices, including a meta driven framework. 
  • Applying data modelling and data warehousing principles to support business intelligence and analytics solutions 
  • Working alone and with others on new business systems and/or modify existing systems to specific user/system interfaces 
  • Awareness of the software engineering life cycle for development and the concepts and practices required to implement effective information systems. 
  • IT setups in liaison with colleagues and users as appropriate including: 
  • Analysis and modelling of user requirements, specifying information flows, processes and procedures 
  • Converting specifications into detailed designs taking account of technical and non-technical features and limitations of the target implementation environment. 
  • Translating design requirements and implementing into physical database structures 
  • Constructing or modifying, testing and correcting program modules from detailed specifications 
  • Interpreting and executing defined test plans 
  • Installing fully tested software in target environments 
  • Producing documentation of all work in accordance with agreed standards 
  • Taking part in client/user meetings (both formal and informal) and assist in presenting issues and solutions both orally and in writing 
  • Participating in technical discussions with our third parties 
  • Undertaking general business systems support on internal/third party systems and adopt a flexible and consistent approach to offering on-site support to users.

What we’re looking for:  

  • Proven experience in Microsoft Fabric or similar technologies 
  • Solid knowledge in Python & Spark Notebooks, Azure Data Factory / Azure 
  • Demonstrable experience in Data Warehousing / Data Marts  
  • Previously used one or more of: 
    • SQL 
    • Oracle SQL 
    • T-SQL  
    • PLSQL 
  • Previously used one or more of:  
    • Power BI 
    • Crystal 
    • SQL Server Reporting Services (SSRS)  
  • Synapse Azure Integration Services  
    • Azure API Management, 
    • Azure Logic Apps 
    • Azure Functions 
    • Azure Service Bus 
  • Demonstrable experience with traditional programming languages and/or low-code development tools  
  • Experience with Source Control 

What would be desirable  

  • Microsoft Power Platform  
  • Azure DevOps  
  • HTML/CSS  
  • Further knowledge or experience with ERP, WMS,  
  • .NET Technologies  

Next Steps: 

As a business, we’re on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation.  

We’ll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. 

About Us: 

We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. 

Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. 

Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be. #LI-LP1#LI-hybrid

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.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.