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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 with exciting projects and career advancement.
- Why this job: Make a real impact by creating data products that drive investment decisions.
- 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 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
✨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 or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and ELT workflows. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data solutions, as this will demonstrate your expertise and problem-solving skills.
✨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 about their job search!
We think you need these skills to ace Data Engineer - Build Production-Grade Fabric Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, Microsoft Fabric, and Azure. 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 building a data platform for investment teams and how your background makes you a perfect fit for this hybrid role.
Showcase Your Collaboration Skills: Since this role involves working closely with internal teams, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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 this exciting opportunity to contribute to our dynamic environment!
How to prepare for a job interview at DW Search
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft Fabric and Azure. Brush up on your knowledge of data pipelines and ELT workflows, as these will likely be key discussion points. Being able to speak confidently about your experience with these technologies will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about examples where you designed effective data solutions or improved existing processes. This will demonstrate your ability to contribute meaningfully to their investment teams.
✨Understand the Federated Data Model
Since this role involves driving the transition towards a federated data model, it’s crucial to understand what that means. Be ready to explain how you would approach this transition and the benefits it brings to data management and accessibility.
✨Collaborate and Communicate
Highlight your experience working with cross-functional teams. Communication is key in this role, so be prepared to discuss how you’ve successfully collaborated with others to deliver impactful data products. Show that you can bridge the gap between technical and non-technical stakeholders.