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- Tasks: Design data pipelines and develop ELT workflows for a cutting-edge data platform.
- Company: Join DW Search, a forward-thinking company in the heart of London.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
- Other info: Be part of a dynamic team driving innovation in data solutions.
- Why this job: Make a real impact by creating data products that empower investment teams.
- Qualifications: Strong experience in data engineering, Microsoft Fabric, and Azure required.
The predicted salary is between 60000 - 80000 £ per year.
DW Search is seeking a Data Engineer for a hybrid role in London. You'll focus on building a Microsoft Fabric-based data platform directly utilized by investment teams, creating impactful data products.
Responsibilities include:
- Designing data pipelines
- Developing ELT workflows
- Collaborating with internal teams
- Driving the transition towards a federated data model
Candidates should have strong experience in data engineering, Microsoft Fabric, and Azure. This role offers the chance to make significant contributions within a dynamic environment.
Data Engineer - Build Production-Grade Fabric Data Platform in London employer: DW Search
Contact Detail:
DW Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Build Production-Grade Fabric Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working 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 data pipelines and ELT workflows. This is your chance to demonstrate what you can do, so make it shine and share it during interviews or on LinkedIn.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data engineering concepts. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨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 are proactive and eager to join our team.
We think you need these skills to ace Data Engineer - Build Production-Grade Fabric Data Platform in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data engineering, Microsoft Fabric, and Azure in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your past projects relate to building data platforms and designing data pipelines. It helps us see you as a perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to understand your experience!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at DW Search
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric and Azure. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience designing data pipelines and developing ELT workflows. Have specific examples ready that demonstrate your ability to create efficient and scalable solutions, as this will be crucial for the role.
✨Collaboration is Key
Since this role involves working closely with internal teams, think of examples where you've successfully collaborated on projects. Highlight your communication skills and how you’ve driven initiatives towards a federated data model.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the current projects they’re working on, or how they envision the evolution of their data platform. This shows your genuine interest in the role and the company.