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- Tasks: Design and deliver innovative data and AI solutions on Microsoft Fabric.
- Company: Leading tech client in London with a focus on cutting-edge solutions.
- Benefits: Competitive salary up to £90,000, hybrid working, and career development opportunities.
- Other info: Dynamic environment with opportunities for mentorship and growth.
- Why this job: Lead a small team and make a real impact in the data engineering field.
- Qualifications: Hands-on experience with Microsoft Fabric, Power BI, and strong technical leadership skills.
The predicted salary is between 90000 - 90000 £ per year.
A leading client in London seeks a Microsoft Fabric Engineer to design and deliver data and AI solutions on the Microsoft Fabric platform. As Technical Lead for a small team, you'll oversee end-to-end architecture, develop scalable analytics solutions, and stay hands-on.
Responsibilities include:
- Delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI)
- Leading architecture and performance optimisation
- Enabling advanced analytics and machine learning with Fabric and Azure ML
Key Skills and Responsibilities:
- Demonstrated hands-on experience with Microsoft Fabric and Power BI
- Extensive knowledge in data modelling, DAX, Python/PySpark, SQL/KQL
- Proven record of technical leadership and effective stakeholder engagement
- Design and deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power BI
- Lead architectural design, capacity planning, and performance optimisation efforts
- Facilitate advanced analytics and machine learning initiatives utilising Fabric and Azure ML
- Implement governance, security, and DevOps best practices
- Mentor engineers and contribute to the development of platform strategy
Senior Data Engineer - Microsoft Fabric employer: Harvey Nash Group
Contact Detail:
Harvey Nash Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Microsoft Fabric
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with 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 projects with Microsoft Fabric, Power BI, and any advanced analytics you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your hands-on experience with data modelling, DAX, and Python. We want to see that you're not just a talker but a doer!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer - Microsoft Fabric
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with Microsoft Fabric, Power BI, and any relevant projects you've led. We want to see how you can bring value to our team!
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 your background aligns with our needs. Don't forget to mention your leadership experience and any specific achievements in data modelling or analytics.
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise in DAX, Python/PySpark, SQL/KQL, and any other relevant tools. We love seeing concrete examples of how you've used these skills to solve problems or improve processes in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. This way, we can easily track your application and get back to you quicker. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Harvey Nash Group
✨Know Your Microsoft Fabric Inside Out
Make sure you’re well-versed in Microsoft Fabric and its components like OneLake, Lakehouse, and Power BI. Brush up on your hands-on experience and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Technical Leadership
Prepare examples that highlight your experience in leading teams and engaging with stakeholders. Think of situations where you’ve successfully guided a project or mentored others, as this will demonstrate your capability as a Technical Lead.
✨Demonstrate Your Data Modelling Skills
Be ready to dive into data modelling discussions. Familiarise yourself with DAX, Python/PySpark, and SQL/KQL, and prepare to explain how you’ve used these skills to solve real-world problems in previous roles.
✨Discuss Governance and Best Practices
Understand the importance of governance, security, and DevOps in data engineering. Be prepared to talk about how you’ve implemented best practices in past projects, as this shows you’re not just technically skilled but also mindful of broader implications.