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- Tasks: Lead the design and delivery of modern data solutions for ambitious clients.
- Company: Microsoft-centric consultancy with a focus on innovation and collaboration.
- Benefits: Competitive salary, great benefits, hybrid work, and opportunities for upskilling.
- Why this job: Shape how organisations leverage data using cutting-edge Microsoft technologies.
- Qualifications: Experience with Microsoft data tech, SQL, and coding in Python or R.
- Other info: Join a dynamic team where your contributions matter from day one.
The predicted salary is between 36000 - 60000 £ per year.
I'm working with a Microsoft-centric technology consultancy who are scaling their Data team and looking for a Senior Data Engineer to join them in Edinburgh (hybrid). This is a brilliant opportunity to take ownership of high-impact projects, work with cutting-edge data platforms and lead technical delivery for a variety of ambitious clients.
About the Role:
You’ll be joining an established team where your contribution matters from day one. This role is ideal for someone who enjoys working directly with clients, shaping solutions and turning complex data challenges into scalable, production-ready platforms.
In this role, you’ll take a lead position in the design and delivery of modern data solutions across a range of client projects. You’ll work closely with stakeholders to understand requirements and translate them into scalable, secure and high-performing data platforms, including Data Warehouses, Data Lakes and Lakehouse architectures. The role will involve building and maintaining robust ETL pipelines, producing clear technical documentation, and acting as a trusted technical voice within both the internal data team and with clients throughout the delivery lifecycle.
You’ll ideally have most of the following:
- Ability to communicate clearly with technical and non-technical stakeholders
- Experience engaging with clients to gather requirements and scope solutions
- Solid background with Microsoft data technologies (ideally including Microsoft Fabric)
- Strong SQL, data modelling and data engineering fundamentals
- Coding experience in at least one language such as Python or R
- Hands-on experience with Data warehouses, Data Lakes and Data Lakehouses
This is a chance to shape how organisations get value from their data using the latest Microsoft stack. You’ll work on a range of projects, directly with clients, and be part of a company that values quality, innovation and career development in a collaborative environment. In return they’re offering a very competitive salary, great benefits and lots of scope to upskill and gain qualifications. The role is hybrid (1/2 days per month in their central Edinburgh office).
If you’d like to find out more, please apply or drop Matt MacAlpine a message via LinkedIn for an informal chat.
Senior Data Engineer in Edinburgh employer: Cathcart Technology
Contact Detail:
Cathcart Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the consultancy you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your past projects, especially those involving Microsoft data technologies. This will demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Practice your pitch! Be ready to explain how you can tackle complex data challenges and deliver scalable solutions. Tailor your examples to align with the consultancy's focus on high-impact projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team and contributing to their innovative projects.
We think you need these skills to ace Senior Data Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with Microsoft data technologies and any client-facing projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled complex data challenges and led technical delivery in previous positions.
Showcase Your Technical Skills: Don’t forget to mention your coding experience, especially with SQL, Python, or R. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Cathcart Technology
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft data technologies, especially Microsoft Fabric. Brush up on your SQL skills and be ready to discuss your experience with Data Warehouses, Data Lakes, and Lakehouse architectures. This will show that you’re not just familiar with the tools but can also leverage them effectively.
✨Engage with Stakeholders
Prepare to demonstrate your ability to communicate with both technical and non-technical stakeholders. Think of examples where you’ve successfully gathered requirements from clients and translated them into actionable solutions. This will highlight your client engagement skills and your understanding of their needs.
✨Showcase Your Problem-Solving Skills
Be ready to discuss complex data challenges you’ve faced and how you turned them into scalable, production-ready platforms. Use specific examples to illustrate your thought process and the impact of your solutions. This will help the interviewers see your analytical mindset in action.
✨Prepare for Technical Questions
Expect to dive deep into your coding experience, particularly in Python or R. Brush up on your data modelling fundamentals and be prepared to solve a problem on the spot. Practising common data engineering scenarios can give you the confidence to tackle these questions head-on.
