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- Tasks: Design and build data pipelines to enhance analytics in a Microsoft environment.
- Company: Dynamic recruitment agency focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Why this job: Make an impact on data analytics and work with cutting-edge technologies.
- Qualifications: Strong SQL and Python skills; knowledge of R and Microsoft Fabric is a plus.
- Other info: Exciting role with potential for career advancement in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A recruitment agency is seeking a Data Engineer to enhance data pipelines in a Microsoft-based analytics environment. The role involves designing and building data pipelines, transforming data, and ensuring high-quality reporting.
Candidates should possess strong skills in SQL and Python, with knowledge of R and experience in Microsoft Fabric being beneficial. This position offers a chance to work with dynamic data and influence analytics processes.
Data Engineer: Power BI Pipeline Architect in City of London employer: MLM Search Ltd
Contact Detail:
MLM Search Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Power BI Pipeline Architect in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data pipelines and analytics. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. If you’ve worked with Microsoft Fabric, highlight that too. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Think about how you’d tackle real-world problems, especially around data transformation and pipeline design. We want to see your thought process!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer: Power BI Pipeline Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and any relevant tools like Microsoft Fabric. We want to see how your skills align with the role of a Data Engineer, so don’t hold back on showcasing your achievements!
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 enhance our data pipelines. Let us know what excites you about working in a Microsoft-based analytics environment.
Showcase Your Projects: If you've worked on any projects involving data transformation or reporting, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at MLM Search Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on your knowledge of R and Microsoft Fabric too, as they could give you an edge. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Pipeline Experience
Prepare examples of data pipelines you've designed or enhanced in previous roles. Talk about the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to deliver high-quality reporting.
✨Understand the Analytics Environment
Familiarise yourself with Microsoft-based analytics environments. Research how data flows through these systems and be prepared to discuss how you can improve existing processes. Showing that you understand the bigger picture will impress your interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the tools they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation.
