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- Tasks: Design and deliver scalable Azure data pipelines while integrating AI-driven insights.
- Company: Leading wealth management organisation embracing technology transformation.
- Benefits: Competitive salary, bonus, excellent benefits, and hybrid work model.
- Other info: Join a growing team with opportunities for professional development.
- Why this job: Shape the future of data with cutting-edge technologies in a dynamic environment.
- Qualifications: Experience in Azure, data engineering, and machine learning integration.
The predicted salary is between 60000 - 70000 £ per year.
We are recruiting for a Senior Data Engineer to join a growing data team within a leading wealth management organisation undergoing significant technology transformation, with strong investment in Azure, Microsoft Fabric and AI-driven data capabilities. This role offers the opportunity to work on a modern data platform while also contributing to how machine learning and AI-driven insights are integrated into production environments. You will play a key role in shaping how data is used across the business, combining hands-on engineering with technical influence.
Key Responsibilities
- Design and deliver scalable Azure-based data pipelines and ETL workflows
- Build and optimise data models supporting analytics and reporting
- Support and enhance Azure Synapse and Azure Data Lake environments
- Contribute to the migration and adoption of Microsoft Fabric
- Integrate machine learning and AI-driven outputs into data pipelines
- Develop and support Power BI datasets and reporting layers
Senior Data Engineer - Azure, Microsoft Fabric, AI in Birmingham employer: Intelligent Talent Solutions
Contact Detail:
Intelligent Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Azure, Microsoft Fabric, AI in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure projects, data pipelines, and any AI-driven insights you've worked on. This is your chance to demonstrate your hands-on engineering prowess and technical influence.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Azure, Microsoft Fabric, and machine learning integration. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer - Azure, Microsoft Fabric, AI in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Microsoft Fabric, and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our data team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: When filling out your application, make sure to highlight your technical expertise in building data pipelines and working with Azure services. We’re looking for someone who can hit the ground running, so let us know what you’ve done!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Intelligent Talent Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Microsoft Fabric, and AI technologies. Brush up on your knowledge of data pipelines, ETL workflows, and how to optimise data models. Being able to discuss specific projects or experiences where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you overcame them, especially in relation to data engineering. Think about scenarios where you had to integrate machine learning outputs into data pipelines or enhance Azure environments. This will demonstrate your hands-on experience and technical influence.
✨Understand the Business Context
Research the wealth management organisation and understand their data needs and challenges. Be ready to talk about how your role as a Senior Data Engineer can contribute to their technology transformation and how you can help shape data usage across the business.
✨Prepare Questions That Matter
Have insightful questions ready for the interviewers about their data strategy, team dynamics, and future projects involving AI and Microsoft Fabric. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.