Azure Data Engineer

GoFibre
Edinburgh
23 hours ago
Create job alert

GoFibre Edinburgh, Scotland, United Kingdom


Azure Data Engineer

£47,000 - £56,000


Benefits: 31 days holiday, discounted gym membership, enhanced pension, private healthcare, employee wellbeing support and career coaching


Who We Are

At GoFibre we’re on an exciting journey to revolutionise broadband capabilities for homes and businesses in rural towns and villages across Scotland and the north of England, connecting communities and affording them digital capability equal to their city counterparts; whilst being as environmentally conscious as possible, and creating social value in the areas we serve. Our story is only just beginning. We’re growing fast and we don’t intend to slow down anytime soon as we play our part in ensuring future-proof full fibre coverage. We continue to raise investment for our infrastructure, service and people through our top-notch partnerships, and we’re confident and enthusiastic about what is coming next for the GoFibre family, as we strive to connect hundreds of thousands of homes and businesses. We have fantastic offices to allow colleagues to connect and catch up, one in central Edinburgh (with stunning 360 views of the city) and another in the coastal town of Berwick Upon Tweed; both a short walk from transport links.


How We Work

Collaboration, innovation, commitment, continual improvement of our business and ourselves, are the cornerstones of what creates our collective success. No two days are the same; the landscape is constantly changing, and we think on our feet, move fast and tackle challenges and opportunities head on. We’re always learning and we thrive under pressure, because we support one another and have some laughs along the way. We’re all in this together, as we navigate the road less travelled, pushing the boundaries of what we can deliver and the professionals we can become. We take care of each other and care about work-life balance and wellbeing.


THE TEAM

The Azure Data Engineer will design, build and run scalable data solutions on Microsoft Azure. You’ll make sure data is easy to access, performs well, and meets security and governance standards across the business. This is a hands‑on role, combining strong ETL development with the design of modern data platforms that power reporting, analytics and data science. You’ll work in a Scrum/Agile environment, partnering closely with engineers, analysts and stakeholders to deliver value iteratively and at pace.


What You Will Be Working On

  • Design, build and run scalable, reliable data pipelines using Microsoft Azure
  • Architect and deliver data integration solutions that meet real business needs
  • Develop and maintain robust ETL processes for data ingestion, transformation and loading
  • Work closely with data and wider tech team and senior leadership team in a Scrum/Agile environment
  • Actively contribute to sprint planning, stand‑ups, reviews and retrospectives
  • Optimise data pipelines for performance, reliability and cost efficiency
  • Own data governance, quality and integrity across the full data lifecycle
  • Embed strong data security, privacy and compliance standards
  • Create and maintain clear documentation for data architecture, flows and processes
  • Continuously improve ways of working through Agile best practice and modern engineering standards

What You Will Bring To The Role

  • Experience delivering data engineering or data architecture solutions on Microsoft Azure
  • Extensive skills in data modelling, data warehousing and ETL development
  • Hands‑on experience with core Azure data services such as Data Factory, Data Lake and Azure SQL
  • Ability to write code and work confidently with data using Python and SQL
  • Collaborative working style within an Agile/Scrum environment

We love that everybody is different, and we believe a diverse workforce will be our strength. We ensure equal opportunity, champion inclusion and we actively encourage applications from suitably qualified candidates regardless of age, disability, gender, race, religion or orientation. Together, we’re all part of the rich GoFibre family and we’re unified by our goals, inspiring our teams to challenge the norm and deliver best‑in‑class service to our customers, all whilst encouraging and appreciating one another.


Are you ready for the challenge? Get in touch now, we can’t wait to hear from you! www.gofibre.co.uk


Seniority level

Entry level


Employment type

Full‑time


Job function

Information Technology


Industries

Telecommunications


#J-18808-Ljbffr

Related Jobs

View all jobs

Azure Data Engineer

Azure Data Engineer - £250PD Outside IR35 - Remote

Azure Data Engineer - £500 - Hybrid

Azure Data Engineer (Databricks)

Senior Data Engineer - Azure | Permanent | Hybrid

Senior Azure Data Engineer

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.