Data Engineer & Power Platform Developer

Tenth Revolution Group
Birmingham
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Azure SQL / Fabric Data Engineer

Senior Data Engineer

Data Engineer

Data Engineer (Azure Data Platform)

Senior Data Engineer

Overview

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. They have an office space in London, though this role is remote and is therefore open to candidates across the UK.

They are on a mission to help businesses to reduce their carbon emissions, through the use of their intelligent sustainability platform - and your role will focus on the ongoing development and expansion of this, spanning both front-end and back-end development!

The platform is powered by Microsoft's Cloud ecosystem - including Azure, Power Apps, Power Pages and Power BI, and allows for real-time engagement and AI-guided action plans for carbon reduction.

Responsibilities
  • Use Azure Data Factory to ingest, transform, and expose data across the platform
  • Help centralise data into a Data Lake, ensuring it's clean, structured, and accessible
  • Build data pipelines for LLMs and integrate tools like GPT to drive intelligent outputs
  • Develop user-facing applications using Power Apps and Power Pages
  • Design and manage APIs to connect front-end applications and integrate external services (e.g. procurement systems, AI tools)
  • Collaborate directly with users to turn complex needs into streamlined solutions

It's a broad role, with lots to get involved in!

We're not expecting you to have experience with everything mentioned above - the core skills are Azure Data Factory, and having a self-starter mentality with an enthusiasm to learn new things!

Benefits
  • Salary up to £70,000 depending on experience
  • 25 days annual leave plus bank holidays, plus your birthday off
  • Pension with 3% employer and 5% employee contributions
  • Generous maternity and paternity policy
  • Allocated training budget for everyone
  • Regular company get-togethers with expenses paid
Additional Information

If you're excited by the prospect of working for a mission-driven organisation who are already making a big impact, apply today!

Please Note: This is a role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data and AI roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at


#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.