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- Tasks: Build and maintain data pipelines using Microsoft Fabric and Azure for improved analytics.
- Company: Join a forward-thinking tech company with a focus on innovation and collaboration.
- Benefits: Earn up to £61,000, enjoy 46 days holiday, and work remotely or hybrid.
- Other info: Dynamic role with opportunities for hands-on work and career growth.
- Why this job: Make a real impact by enhancing data visibility and supporting business intelligence.
- Qualifications: Experience in data engineering and familiarity with Microsoft Fabric and Azure services.
The predicted salary is between 61000 - 61000 £ per year.
My client are looking for an experienced Microsoft Fabric & Azure Engineer with hands-on experience in data ingestion, Microsoft Fabric, and Azure data services. This role is focused on building and supporting data pipelines that move data from on-premise systems into Microsoft Fabric and Azure, helping to improve reporting, analytics, and overall data visibility across the business.
You will be responsible for designing and maintaining data ingestion processes, supporting Lakehouse architecture, and ensuring data is secure, reliable, and available for Power BI reporting and wider business use.
Key Responsibilities- Build, maintain, and improve data ingestion pipelines using Microsoft Fabric.
- Move data from on-premise systems into Azure and Microsoft Fabric using Data Factory, Dataflows, Pipelines, and Data Gateways.
- Support and manage Lakehouse architecture, ensuring data is stored correctly and is easy to access for reporting and analytics.
- Work with Power BI Fabric to ensure reporting teams have reliable and well-structured data sources.
- Manage and support Fabric workspaces, data pipelines, and data flows across the platform.
- Configure and maintain secure connections between on-premise systems and Azure using Data Gateways, Private Endpoints, and Private DNS where required.
- Monitor data pipelines and resolve failures, performance issues, and data quality problems.
- Support platform performance across large environments with high volumes of users, endpoints, and reporting activity.
- Strong experience working in data engineering, data platforms, or Azure-based data environments.
- Good hands-on experience with Microsoft Fabric, especially Data Factory, Lakehouse, Dataflows, Pipelines, and Power BI integration.
- Experience building data ingestion pipelines from on-premise systems into Azure environments.
- Understanding of Lakehouse design and how data should be structured for reporting and analytics.
- Experience with Azure services such as Azure Storage, Azure SQL, Azure Data Factory, and related data services.
- Experience working with Data Gateways and hybrid data environments.
- Good understanding of Power BI and how Fabric supports reporting and monitoring.
- Knowledge of Private Endpoints, Private DNS, and secure network access for data platforms.
- Strong SQL skills and experience working with large datasets.
- Experience using PowerShell, Azure CLI, or similar tools for support and automation.
This role is ideal for someone who enjoys practical, hands-on data engineering work and wants to play a key part in building and improving a modern Microsoft Fabric data platform.
Microsoft Fabric Data Engineer in Manchester employer: Castlefield Recruitment
Contact Detail:
Castlefield Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Fabric Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Microsoft Fabric and Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data ingestion and Azure services. 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 experience with Data Factory, Lakehouse architecture, and Power BI. We want to see how you can contribute to building and improving our data platform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Microsoft Fabric Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric and Azure data services. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on experience with data ingestion and pipelines!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Relevant Projects: If you've worked on any projects involving data pipelines or Microsoft Fabric, make sure to mention them! We’re keen to see real-world examples of your work, especially if they relate to the responsibilities listed in the job description.
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 shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Castlefield Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, Azure Data Factory, and Lakehouse architecture. Be ready to discuss specific projects where you've built data ingestion pipelines or worked with Power BI. The more hands-on examples you can share, the better!
✨Showcase Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially around data quality issues or performance problems. Companies love candidates who can demonstrate their ability to troubleshoot and resolve issues effectively, so have a few scenarios ready to discuss.
✨Understand the Business Impact
It's not just about the tech; show that you understand how your work impacts reporting and analytics across the business. Be prepared to explain how your data engineering efforts can improve decision-making and overall data visibility for the company.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, challenges they face, or how they measure success in this role. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.