Data Engineer

Airedale Group; United Kingdom; On-site; GBP 45,000 - 70,000; Full time

Benefits offered by this job

Private Health Insurance

23 days of annual leave

Retail discounts

Job summary

Airedale Group in the United Kingdom is looking for a data engineer to enhance their data platform, moving beyond standard dashboards. This role involves refining pipelines, implementing new data strategies, and ensuring data quality while working closely with various teams.

The ideal candidate will have strong SQL and Power BI skills and be open to new methodologies, alongside a passion for data accuracy and efficiency. Airedale Group offers private health insurance and retail discounts along with 23 annual leave days.

Qualifications

• Experience in Power BI and Microsoft Fabric.
• Strong SQL skills and ability to build efficient data models.
• Proven ability to communicate with technical and non-technical audiences.

Responsibilities

• Refine and optimize existing data pipelines and models.
• Implement the next generation of the data platform.
• Automate manual reporting and data processes.
• Engage with stakeholders to understand real data usage.

Skills

Strong SQL

Data Modelling

Power BI

Automation and Integration

Clear Communication

Tools

Microsoft Fabric

AI development tools

Job description

Company Overview

Airedale Group is the UK’s leading design, installation and maintenance provider for commercial kitchens in the hospitality and food service industry — working with clients from initial design through bespoke fabrication, installation and ongoing maintenance, backed by one of the largest bodies of professional maintenance engineers in the country. We are expanding rapidly, employing circa 750 people across multiple UK locations.

Job Overview

We’re looking for a data engineer ready to outgrow the world of Power BI dashboards and help us take our data platform to the next level.

Our reporting runs on Microsoft Fabric and Power BI, and it gives us a solid foundation to build on. The opportunity now is to evolve it — moving the heavy lifting upstream into a properly engineered data platform, with aggregation and transformation handled closer to source and the right information surfaced intelligently to the people who need it. In that model, Power BI and Fabric become a lean, fast presentation layer fed by clean, pre-computed data.

You won’t be expected to architect this alone — the direction is set and evolving with the wider technology team. You will be a genuine partner in delivering it: someone who can hold a real technical conversation, implement with confidence, and say when an approach won’t work in practice. What it does offer is real autonomy and the scope to shape how data is handled across a growing business.

Key Responsibilities

• Work alongside our current Fabric and Power BI estate, keeping reporting running smoothly while we evolve the platform.
• Refine and optimise existing pipelines and models, and build new ones using modern, event-driven approaches.
• Implement the next generation of our data platform alongside the technology team, moving aggregation and transformation closer to source.
• Automate manual reporting and data processes, giving time back to the business.
• Get out into the business — visit sites, sit with teams, run informal workshops — to understand how data is really used and where it can do more.
• Take personal ownership of data quality, consistency and accuracy across the platform.
• Sit alongside analysts and stakeholders to understand how they actually use data — listening first, before solving.
• Proactively spot opportunities for automation and integration that drive efficiency across the business.
• Help shape how we work as a data function: standards, documentation and ways of working.

Experience Required

• Knows the Power BI / Fabric world, but isn’t wedded to it. If you’ve started to feel the limits of dashboard-led BI and you’re curious about where modern data engineering is heading, you’ll fit right in.
• Has strong SQL and real data-modelling judgement — able to build efficient models from scratch and improve existing ones.
• Uses AI and modern development tools effectively while applying the judgment needed to validate and own the final result.
• Communicates clearly with both technical and non-technical audiences.
• Takes ownership — investigating issues, following through and sharing knowledge with others.
• Brings curiosity and adaptability, and is happy to be mobile — travelling between sites and sitting alongside the people who use our data.
• Has strong attention to detail and cares about producing accurate, trusted data.
• Looks for continuous improvement opportunities and ways to make processes faster, cleaner and more automated.
• Documents work clearly so solutions can be supported, understood and improved over time.

What we offer

• 23 days of annual leave (Increasing with LOS)
• Private Health Insurance & Health Care Cashplan
• Retail discounts on a wide range of products and services