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- Tasks: Build and maintain Azure data pipelines for analytics and reporting.
- Company: Dynamic SaaS business based in Manchester.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on operational insights without people management responsibilities.
- Qualifications: Solid Azure experience and strong understanding of data engineering principles.
- Other info: Collaborative environment with a focus on innovation and influence.
The predicted salary is between 36000 - 60000 £ per year.
A SaaS business in Manchester seeks a Data Engineer to build and maintain Azure data pipelines. This role involves collaborating closely with Data Analysts to ensure robust and structured data models tailored for analytics and reporting.
Candidates should have solid Azure experience and a strong understanding of data engineering principles. The position promises influence on engineering practices without people management responsibilities, making a significant impact on operational insights.
Senior Data Engineer - Analytics-Ready Azure Pipelines in Manchester employer: Socium
Contact Detail:
Socium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Analytics-Ready Azure Pipelines in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure data pipelines and any analytics projects you've worked on. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨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 Senior Data Engineer - Analytics-Ready Azure Pipelines in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Azure experience and data engineering skills. We want to see how your background aligns 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 the role and how you can contribute to our team. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Collaboration Skills: Since this role involves working closely with Data Analysts, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork and want to know how you can fit into our culture.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Socium
✨Know Your Azure Inside Out
Make sure you brush up on your Azure skills before the interview. Be ready to discuss your experience with building and maintaining data pipelines in Azure, as well as any specific tools or services you've used. This will show that you're not just familiar with the platform but can also leverage it effectively.
✨Collaborate Like a Pro
Since this role involves working closely with Data Analysts, be prepared to talk about your collaboration experiences. Think of examples where you’ve worked with others to create structured data models for analytics. Highlight how you communicated complex data concepts in a way that was easy for non-technical team members to understand.
✨Showcase Your Data Engineering Principles
Brush up on your data engineering principles and be ready to discuss them in detail. Prepare to explain how you ensure data quality, integrity, and efficiency in your pipelines. This will demonstrate your solid understanding of the field and your ability to make a significant impact on operational insights.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data practices and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to showcase your analytical thinking right off the bat!
