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- Tasks: Join a lean data team to optimise and execute Azure-focused data engineering projects.
- Company: A long-standing partner of FinTop Consulting with a collaborative culture.
- Benefits: Up to £70,000 salary, bonus, and flexible working options.
- Other info: Dynamic environment with opportunities for learning and career growth.
- Why this job: Work with cutting-edge AI & ML tools and make a real impact in data engineering.
- Qualifications: 5+ years in Data Engineering, Azure Synapse, Python development, and ETL processes.
The predicted salary is between 70000 - 70000 £ per year.
Location: West London – 3 days in office / 2 days from home
Salary: Up to £70,000 + bonus
A long-standing partner of FinTop Consulting is hiring for a Mid-Level Azure-focused Data Engineer. You will be joining a lean data team, which will allow you to get stuck in, present new ideas as well as have the autonomy to do what you love doing! This position is heavy on the coding side due to the nature of the work, but it does come with its perks, for example; learning new AI & ML tools, as well as being part of the team integrating new analytical platforms.
Reporting to the Lead Engineer, you will be looking at existing code, finding those pain points, figuring out what it’s doing to then optimize and execute.
MUST HAVE SKILLS: NON-NEGOTIABLES
- ~5+ years in Data Engineering
- ~ Experience in Azure Synapse & Azure DL
- ~ Development in Python and maintenance of ETL Processes
- ~ Interesting in analytical platforms such as Microsoft Fabric.
INTERVIEW PROCESS
- ~1st stage – 30 minutes – Teams call – Technical dive with the Lead Engineer
- ~ Final stage – 90 minutes – F2F – Meet the team and Lead Engineer. Understanding the role, some tech conversations with a final discussion with the Technical Director to align expectations.
Azure Data Engineer/ Developer employer: FinTop Consulting
Contact Detail:
FinTop Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer/ Developer
✨Tip Number 1
Before your interview, make sure to brush up on your Azure skills. We all know that the technical dive is crucial, so practice coding challenges and review your past projects. This will help you feel confident and ready to impress the Lead Engineer!
✨Tip Number 2
Don’t just focus on the technical stuff; be prepared to discuss how you can contribute to the team’s dynamics. We want to see your personality shine through, so think about how you can bring new ideas to the table and fit into their lean data team.
✨Tip Number 3
During the final stage of the interview, don’t hesitate to ask questions about the team and the projects they’re working on. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Remember, it’s a two-way street!
✨Tip Number 4
Finally, apply through our website! We’ve got loads of resources to help you prepare, and we’re here to support you every step of the way. Let’s land that Azure Data Engineer role together!
We think you need these skills to ace Azure Data Engineer/ Developer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in Data Engineering, especially with Azure Synapse and Python. We want to see how your skills align with what we’re looking for, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate to the job description. We love seeing how you can bring your unique flair to our team!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Let us see your personality shine through your words!
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!
How to prepare for a job interview at FinTop Consulting
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Synapse and Azure Data Lake knowledge. Be ready to discuss how you've used these tools in your previous roles, and think of specific examples where you've optimised ETL processes or tackled challenges.
✨Show Off Your Coding Skills
Since this role is heavy on coding, be prepared to dive into Python during the technical interview. Practise coding problems related to data engineering and be ready to explain your thought process as you solve them.
✨Engage with the Team
During the face-to-face interview, don’t just focus on answering questions. Engage with the team by asking insightful questions about their current projects and how they integrate new analytical platforms. This shows your interest and willingness to contribute.
✨Prepare for Tech Conversations
Expect some deep tech discussions with the Lead Engineer and Technical Director. Familiarise yourself with recent trends in AI and ML tools, and be ready to share your thoughts on how they can enhance data engineering practices.