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For Companies At a Glance
- Tasks: Design and build scalable data solutions on Microsoft Azure to enhance data accessibility and performance.
- Company: GoFibre, a pioneering tech company transforming broadband in rural Scotland.
- Benefits: 31 days holiday, discounted gym membership, enhanced pension, private healthcare, and career coaching.
- Why this job: Join a fast-growing team making a real impact on digital connectivity for communities.
- Qualifications: Experience in data engineering on Azure and skills in Python and SQL.
- Other info: Dynamic, collaborative environment with a focus on innovation and work-life balance.
The predicted salary is between 40000 - 48000 £ per year.
GoFibre is 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 while being environmentally conscious and creating social value in the areas we serve.
We are growing fast and intend to ensure future-proof full fibre coverage. We continue to raise investment for our infrastructure, service and people through our top-notch partnerships.
How We Work
Collaboration, innovation, commitment, and continual improvement are the cornerstones of our collective success. No two days are the same; the landscape is constantly changing, and we tackle challenges and opportunities head-on. We support one another and thrive under pressure, caring about work-life balance and wellbeing.
The Team
The Azure Data Engineer will design, build and run scalable data solutions on Microsoft Azure. You will ensure 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 will 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 the 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 believe a diverse workforce will be our strength. We ensure equal opportunity, champion inclusion, and actively encourage applications from suitably qualified candidates regardless of age, disability, gender, race, religion, or orientation.
Are you ready for the challenge? Get in touch now, we can’t wait to hear from you!
Azure Data Engineer in Edinburgh employer: GoFibre
Contact Detail:
GoFibre Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current employees at GoFibre on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Azure Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your experience with Azure data services, ETL processes, or data modelling. Bring this along to interviews to demonstrate your hands-on abilities and problem-solving skills.
✨Tip Number 3
Get familiar with Agile practices! Since GoFibre works in a Scrum environment, brush up on Agile methodologies. Be ready to discuss how you’ve applied these principles in past projects or how you would approach working in such a setting.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Make sure to submit your application directly on the GoFibre site, and don’t forget to tailor your CV and cover letter to highlight your relevant experience and passion for the role.
We think you need these skills to ace Azure Data Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure Data Engineer role. Highlight your experience with Microsoft Azure, ETL processes, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to our mission at GoFibre. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, don’t forget to mention them! Whether it's a personal project or something from a previous job, showcasing your hands-on experience with Azure services will definitely catch our eye.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're genuinely interested in joining the GoFibre family!
How to prepare for a job interview at GoFibre
✨Know Your Azure Stuff
Make sure you brush up on your knowledge of Microsoft Azure services, especially Data Factory, Data Lake, and Azure SQL. Be ready to discuss how you've used these tools in past projects or how you would approach specific data engineering challenges.
✨Showcase Your ETL Skills
Prepare to talk about your experience with ETL processes. Have examples ready that demonstrate your ability to design, build, and maintain robust data pipelines. Highlight any challenges you faced and how you overcame them.
✨Emphasise Collaboration
Since the role involves working closely with teams in a Scrum/Agile environment, be prepared to discuss your collaborative experiences. Share examples of how you've contributed to sprint planning or worked with stakeholders to deliver value iteratively.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially under pressure. Think of scenarios where you had to think on your feet and tackle unexpected challenges, and be ready to explain your thought process and the outcomes.
