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- Tasks: Design a modern Azure and Microsoft Fabric data platform while managing data pipelines.
- Company: Leading technology recruitment firm with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Eligibility for UK Security Clearance required; three days onsite per week.
- Why this job: Influence the data culture and create impactful Power BI dashboards.
- Qualifications: Experience in data engineering and knowledge of Azure and Power BI.
The predicted salary is between 50000 - 70000 £ per year.
A leading technology recruitment firm is seeking a Data Engineer / BI Specialist to design a modern Azure and Microsoft Fabric data platform. The successful candidate will manage data pipelines, create impactful Power BI dashboards, and ensure data governance and compliance.
The role offers a hybrid working model with three days onsite per week. Eligibility for UK Security Clearance is required. Join and influence the data culture across the organization.
Azure & Fabric BI Data Engineer — Hybrid,Clearance-Eligible employer: IT Talent Solutions Ltd
Contact Detail:
IT Talent Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure & Fabric BI Data Engineer — Hybrid,Clearance-Eligible
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with Azure and Microsoft Fabric. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and Power BI dashboards. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on data governance and compliance topics. Be ready to discuss how you would ensure these aspects in your role, as they’re crucial for the position.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed and ensures your application lands directly in the right hands. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Azure & Fabric BI Data Engineer — Hybrid,Clearance-Eligible
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Microsoft Fabric. We want to see how you've designed data platforms and managed data pipelines, so don’t hold back on those details!
Showcase Your Power BI Skills: Since creating impactful Power BI dashboards is key for this role, include examples of your work. If you’ve got any cool projects or dashboards, we’d love to hear about them!
Emphasise Data Governance Experience: Data governance and compliance are crucial in this position. Be sure to mention any relevant experience you have in these areas, as it shows you understand the importance of data integrity.
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’re considered for this exciting opportunity!
How to prepare for a job interview at IT Talent Solutions Ltd
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with the latest features and best practices for designing data platforms. Be ready to discuss how you've used Azure in past projects, especially in relation to data pipelines and governance.
✨Show Off Your Power BI Skills
Prepare to showcase your experience with Power BI. Bring examples of dashboards you've created and be ready to explain the thought process behind your designs. Highlight how your dashboards have impacted decision-making or improved data visibility in previous roles.
✨Understand Data Governance
Since the role involves ensuring data governance and compliance, make sure you can articulate your understanding of these concepts. Be prepared to discuss any frameworks or policies you've implemented in the past to maintain data integrity and security.
✨Embrace the Hybrid Model
With a hybrid working model in place, demonstrate your adaptability and ability to work effectively both onsite and remotely. Share examples of how you've successfully collaborated with teams in different settings, and express your enthusiasm for contributing to the data culture across the organisation.