At a Glance
- Tasks: Design and develop data infrastructure using Microsoft Fabric for impactful projects.
- Company: Join a leading consulting firm with a focus on innovation and collaboration.
- Benefits: Competitive pay, hybrid work model, and rapid career growth opportunities.
- Other info: Work in a dynamic environment with a focus on best practices and technical excellence.
- Why this job: Be at the forefront of data engineering and make a real difference in projects.
- Qualifications: Expertise in Microsoft Fabric, PySpark, and strong SQL skills required.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a highly experienced Azure Data Engineer who will be a technical specialist responsible for the design, development, and delivery of data infrastructure, ensuring high standards and best practices are maintained throughout the project lifecycle.
Role Overview
- Focus: Implementation and optimisation of Microsoft Fabric environments.
- Accountability: Full responsibility for technical deliverables and advising on the best methods and tools for successful project outcomes.
Technical Requirements
The Must-Haves:
- Microsoft Fabric: Deep expertise in Lakehouse, Warehouse, and OneLake architectures.
- Development: Advanced PySpark, Spark SQL, and T-SQL (Stored Procedures) development/maintenance.
- Orchestration: Hands-on experience with Fabric Data Pipelines and Dataflow Gen2.
- Engineering Rigor: Proven experience implementing CI/CD within Fabric and Git-based version control.
- Analytics: Strong SQL skills tailored for high-performance analytical workloads.
The Nice-to-Haves:
- Experience migrating from Synapse, ADF, or Power BI datasets into Fabric.
- Deep understanding of Delta Lake concepts.
- Familiarity with Power BI semantic models.
- Experience with large datasets and performance tuning.
- Azure Fundamentals (Storage, Entra ID, Networking).
What's on offer:
- Competitive compensation
- Opportunity to gain rapid experience in a major consulting firm
- Hybrid working with 1-2 days on site per week
Required Skills:
- Performance Tuning
- Data Development
- Stored Procedures
- Pipelines
- Spark
- Version Control
- CI/CD
- Accountability
- Consulting
- Compensation
- Azure
- Deliverables
- Storage
- Infrastructure
- Analytics
- Networking
- Power BI
- Maintenance
- Design
- Engineering
- SQL
Azure Data Engineer in London employer: PLUG
Join a leading consulting firm that values innovation and technical excellence, offering Azure Data Engineers the chance to work on cutting-edge projects in a collaborative and dynamic environment. With a strong focus on employee growth, you will benefit from competitive compensation, hybrid working arrangements, and opportunities to rapidly advance your skills in data infrastructure design and implementation. Our culture promotes best practices and accountability, ensuring that you are supported in delivering high-quality solutions while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current Azure Data Engineers on LinkedIn or at meetups. Ask them about their experiences and any tips they might have for landing a role like this. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Fabric, PySpark, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data pipelines and performance tuning. Practice common interview questions related to Azure and be ready to demonstrate your problem-solving skills with real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Azure Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Microsoft Fabric and the specific technologies mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the Azure Data Engineer role and how your background makes you a perfect fit. We love seeing enthusiasm and a bit of personality, so let us know what excites you about working with us.
Showcase Your Technical Skills:When detailing your experience, focus on your technical skills like PySpark, Spark SQL, and CI/CD practices. We’re keen to see examples of how you've implemented these in past roles, so don’t hold back on the specifics!
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 gives you a chance to explore more about us and what we do!
How to prepare for a job interview at PLUG
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, especially Lakehouse and Warehouse architectures. Be ready to discuss your experience with PySpark, Spark SQL, and T-SQL, as well as any hands-on work you've done with Fabric Data Pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Highlight your experience with CI/CD processes and Git-based version control, as this will demonstrate your engineering rigor and accountability.
✨Be Ready for Technical Questions
Expect in-depth technical questions related to performance tuning and analytics. Brush up on your SQL skills and be prepared to discuss how you've optimised large datasets in the past.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current projects involving Azure and how they implement best practices in data infrastructure.
