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- Tasks: Enhance client data environments and support Microsoft Fabric in a dynamic role.
- Company: Join Hippo, a forward-thinking company dedicated to diversity and inclusion.
- Benefits: Enjoy a competitive salary and flexible benefits tailored for you.
- Other info: Be part of a supportive team in Leeds with great career growth potential.
- Why this job: Make a real impact on data platforms while developing your skills.
- Qualifications: Proven Data Engineer experience with T-SQL and Azure Data Factory knowledge.
The predicted salary is between 50000 - 60000 £ per year.
Hippo is looking for a Senior Azure Data Engineer to join their Managed Services team in Leeds. This client-facing role involves working on various data platforms to enhance client data environments.
Responsibilities include:
- Supporting Microsoft Fabric
- Troubleshooting data pipelines
- Implementing robust CI/CD practices
Candidates should have:
- Proven Data Engineer experience
- Knowledge of T-SQL
- Experience with Azure Data Factory
- Strong communication skills
Hippo offers a competitive salary, flexible benefits, and is committed to diversity and inclusion.
Senior Azure Data Engineer: Reliable Data Platforms employer: Hippo
Contact Detail:
Hippo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer: Reliable Data Platforms
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Hippo on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your work with Azure Data Factory and T-SQL. We want to see how you’ve tackled real-world problems.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on troubleshooting data pipelines and CI/CD practices. We can help you with resources!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re all about making the process smooth and straightforward for you.
We think you need these skills to ace Senior Azure Data Engineer: Reliable Data Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory and T-SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
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 client data environments. Let us know what makes you the perfect fit for our Managed Services team.
Show Off Your Communication Skills: Since this is a client-facing role, we need to see your strong communication skills in action. Whether it’s in your CV or cover letter, make sure to highlight experiences where you’ve effectively communicated complex data concepts to non-technical stakeholders.
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Hippo
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Data Factory and Microsoft Fabric knowledge. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨T-SQL Mastery is Key
Since T-SQL is a crucial part of the role, practice writing queries and troubleshooting common issues. You might be asked to solve a problem on the spot, so being comfortable with T-SQL will give you a leg up.
✨Showcase Your Communication Skills
As this is a client-facing role, demonstrate your ability to communicate complex data concepts clearly. Prepare examples of how you've successfully collaborated with clients or team members in the past.
✨CI/CD Practices are Essential
Familiarise yourself with robust CI/CD practices and be prepared to discuss how you've implemented them in previous roles. Highlight any specific tools or methodologies you've used to streamline data pipeline processes.