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- Tasks: Build and maintain data pipelines using T-SQL, Python, and DBT in Azure.
- Company: Join Red Engine, a forward-thinking company focused on data and analytics.
- Benefits: Enjoy competitive pay, annual leave, and a range of staff benefits.
- Other info: Be part of an inclusive culture with great career growth opportunities.
- Why this job: Make a real impact by enhancing our data analytics platform.
- Qualifications: Experience with Azure and agile development is essential.
The predicted salary is between 60000 - 80000 £ per year.
Red Engine is seeking a Senior Data Engineer to enhance our data and analytics platform. The successful candidate will develop and maintain data pipelines using T-SQL, Python, and DBT in Azure.
Responsibilities include collaborating with Data Analysts and stakeholders to implement data solutions that meet business needs. A solid understanding of the Azure platform and experience in agile development are required.
We offer competitive pay, annual leave, and various staff benefits, fostering an inclusive culture.
Senior Data Engineer: Azure Data Analytics & Pipelines employer: Red Engine
Contact Detail:
Red Engine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Azure Data Analytics & Pipelines
✨Tip Number 1
Network like a pro! Reach out to current employees at Red Engine on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and analytics projects. This is your chance to demonstrate your expertise in T-SQL, Python, and DBT – make it shine!
✨Tip Number 3
Get ready for the interview! Brush up on Azure and agile development concepts. We recommend practising common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer: Azure Data Analytics & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with T-SQL, Python, and DBT. 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 passionate about data engineering and how your background makes you a perfect fit for our team at Red Engine.
Showcase Your Azure Knowledge: Since we’re all about Azure, make sure to mention any specific projects or experiences you have with the platform. We love seeing candidates who can demonstrate their understanding of Azure’s capabilities!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Red Engine
✨Know Your Tech Stack
Make sure you’re well-versed in T-SQL, Python, and DBT. Brush up on your Azure knowledge too! Be ready to discuss how you've used these technologies in past projects and how they can be applied to enhance Red Engine's data and analytics platform.
✨Showcase Your Collaboration Skills
Since the role involves working closely with Data Analysts and stakeholders, prepare examples of how you've successfully collaborated in previous roles. Highlight any agile development experiences that demonstrate your ability to adapt and work in a team environment.
✨Understand the Business Needs
Research Red Engine’s business model and think about how data solutions can drive their success. Be prepared to discuss how you would approach implementing data solutions that align with their goals and meet the needs of various stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future goals of the data and analytics platform. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.