> Markdown version of [/jobs/ext/3101604-data-engineer](https://www.wearedevelopers.com/jobs/ext/3101604-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** Airedale Group
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Programming Tools, Power BI, Standard Sql
- **Published:** September 27, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-engineer/48141379

## About the Role

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 #J-18808-Ljbffr

## Description

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


## Related Videos

- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one)
- [AI Pair Programming with GitHub Copilot at SAP: Looking Back, Looking Forward!](https://www.wearedevelopers.com/videos/1546-ai-pair-programming-with-github-copilot-at-sap-looking-back-looking-forward)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)
- [IT Salaries in UK](https://www.wearedevelopers.com/magazine/288-it-salaries-in-uk)