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For Companies At a Glance
- Tasks: Lead a data transformation journey and build a modern cloud-native data platform.
- Company: A respected family-run business investing heavily in data innovation.
- Benefits: Autonomy, visible impact, and a values-led work environment.
- Why this job: Shape the future of data and drive real business growth with cutting-edge technology.
- Qualifications: 5+ years in Data Engineering with Azure and Databricks experience.
- Other info: Opportunity to mentor engineers and influence the data architecture roadmap.
The predicted salary is between 43200 - 72000 £ per year.
Transform a Greenfield Vision into Reality. Join a long-established, highly respected family‑run business on a major data transformation journey. These are true Greenfield roles, giving you the platform to shape architecture, define standards, and build modern, scalable Data Engineering foundations from day one.
If you’re passionate about using data to unlock business value, drive growth, and leverage cutting‑edge Azure & Databricks investments, this is your opportunity to make a huge impact.
What You’ll Do
- You’ll play a hands‑on, strategic role building a modern cloud‑native data platform:
- Deliver clean, robust Bronze/Silver/Gold layers using Delta Lake
- Create data warehouse assets (star schemas, data marts) using Synapse / Databricks SQL
- Implement scalable orchestration with ADF or Synapse Pipelines, including SLAs & alerting
- Drive performance & cost optimisation across compute & storage
- Establish CI/CD best practices with Azure DevOps
- Champion security, governance & quality throughout the data lifecycle
- Introduce & evolve streaming where appropriate
- Mentor engineers, shape architecture, and influence the roadmap
- Collaborate closely with BI/Analytics to ensure seamless delivery into Power BI
Tech You’ll Work With
- Languages: Python, SQL
- Future‑facing: Microsoft Fabric
What We’re Looking For
- 5+ years in Data Engineering with Azure + Databricks at scale
- Experience running production pipelines in Delta Lake
- CI/CD for data workloads
- Strong communicator able to bridge technical and business needs
Nice to Have
- Data Leadership experience
- Power BI Experience
- Microsoft Fabric
Why Join?
Be part of a stable, values‑led, credible organisation investing heavily in data. You’ll gain autonomy, make visible impact quickly, and help design the blueprint for a truly data‑driven future. CVs are being reviewed as a priority — apply now and shape the future of data for a business that genuinely values its people.
Lead Data Engineer in Glasgow employer: Primus Connect
Contact Detail:
Primus Connect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure and Databricks. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Engineer role. Highlight your experience with Azure, Databricks, and any relevant data engineering projects to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to our transformation journey. Share specific examples of how you've driven growth or unlocked business value through data.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any experience with CI/CD practices. We want to see how you’ve implemented these in real-world scenarios, especially in building scalable data platforms.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to review your application and get you on board for this exciting journey!
How to prepare for a job interview at Primus Connect
✨Know Your Data Engineering Stuff
Make sure you brush up on your Azure and Databricks knowledge. Be ready to discuss your experience with Delta Lake and how you've implemented CI/CD for data workloads. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to building scalable data platforms.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you optimised performance or improved data quality. This is your chance to demonstrate your strategic thinking and how you can drive business value through data.
✨Communicate Clearly
Since they’re looking for someone who can bridge technical and business needs, practice explaining complex concepts in simple terms. You might be asked to describe a project to someone without a technical background, so make sure you can convey your ideas clearly and effectively.
✨Be Ready to Mentor
They value leadership and collaboration, so think about how you can showcase your mentoring experience. Prepare to discuss how you've helped others grow in their roles and how you plan to shape the architecture and influence the roadmap in this new position.
