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For Companies At a Glance
- Tasks: Design and build Azure Synapse solutions and scalable ETL frameworks.
- Company: Join a high-impact data programme with a focus on innovation.
- Benefits: Competitive contract rate, potential for extension, and hands-on experience.
- Other info: Ideal for hands-on engineers looking for dynamic challenges.
- Why this job: Make a real impact by delivering production-grade data solutions.
- Qualifications: Strong Azure Synapse experience, Python, SQL, and independent work skills.
The predicted salary is between 50000 - 65000 £ per year.
Contract – Inside IR35 6 Months (Likely Extension)
We’re looking for a senior Azure Data Engineer with active SC Clearance to join a high-impact data programme. This role is strictly for hands-on engineers who can design, build, and deliver—no oversight-only profiles.
Key Responsibilities
- Build and optimise Azure Synapse solutions using:
- Notebooks
- Pipelines (including configuration-driven frameworks)
Required Experience
- Strong Azure Synapse Analytics experience (essential)
- Proven expertise with:
- Synapse Notebooks
- Pipeline development
Not Suitable For
- Business Analysts or functional roles
- Managers / Leads not coding day-to-day
- Candidates who have only “touched” Azure tools
Azure Data Engineer – SC Cleared in Warrington employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer – SC Cleared in Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the Azure community or related fields. Attend meetups, webinars, or online forums where you can chat with other data engineers and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure Synapse projects, ETL frameworks, and any cool data pipelines you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your hands-on experience with Azure tools, especially Synapse Analytics, and how you've tackled challenges in previous projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. Let's get you that Azure Data Engineer role!
We think you need these skills to ace Azure Data Engineer – SC Cleared in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Azure Synapse experience and any relevant projects you've worked on. We want to see how you’ve built and optimised solutions, so don’t hold back on the details!
Showcase Your Skills: When writing your application, clearly articulate your expertise in Python and SQL. We’re looking for hands-on engineers, so let us know about your coding experience and any frameworks you've designed.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure you explain your role in past projects and how you’ve contributed to building production-grade data solutions.
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 Cognitive Group | Part of the Focus Cloud Group
✨Know Your Azure Stuff
Make sure you brush up on your Azure Synapse Analytics knowledge. Be ready to discuss your hands-on experience with Notebooks and Pipelines, as well as any ETL frameworks you've designed. The more specific examples you can provide, the better!
✨Showcase Your Coding Skills
Since this role is all about hands-on engineering, be prepared to demonstrate your Python and SQL skills. Bring along examples of code you've written or projects you've worked on that highlight your data engineering focus.
✨Be Ready to Talk Process
You’ll need to articulate how you build and optimise data solutions. Think about the end-to-end process of what you've built and be ready to explain your thought process and decision-making in detail.
✨Independent Problem Solver
This role requires someone who can work independently, so be prepared to discuss times when you've tackled challenges without much oversight. Highlight your ability to take ownership of projects and deliver results on your own.