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Data Engineer & Power Platform Developer

Tenth Revolution Group

Tyseley

Remote

GBP 55,000 - 70,000

Full time

Today
Be an early applicant

Job summary

A leading sustainability organization is seeking a Data Engineer to work remotely across the UK. The role involves using Azure Data Factory for data ingestion and transforming, developing applications with Power Apps, and centralizing data into a Data Lake. Candidates should have a self-starter mentality and a willingness to learn. Benefits include a salary up to £70,000, 25 days annual leave, and a pension plan.

Benefits

Salary up to £70,000
25 days annual leave plus bank holidays
Pension with employer contributions
Generous maternity and paternity policy
Allocated training budget
Regular company get-togethers with expenses paid

Qualifications

  • Self-starter mentality with an enthusiasm to learn new things.
  • Experience with Azure Data Factory is crucial.

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.

Skills

Azure Data Factory
Power Apps
Power Pages
Power BI
Job description
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

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