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- Tasks: Join a lean data team to optimise and execute code while learning AI & ML tools.
- 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 professional growth and innovation.
- Why this job: Make an impact in data engineering while working with cutting-edge Azure technologies.
- Qualifications: 5+ years in Data Engineering, Azure Synapse, Python development, and ETL processes.
The predicted salary is between 65000 - 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.
Mid Azure Data Engineer employer: FinTop Consulting
Contact Detail:
FinTop Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid Azure Data Engineer
✨Tip Number 1
Get your tech skills ready! Brush up on your Azure Synapse and Python coding before the interview. We want to show off our expertise, so practice explaining your past projects and how you tackled challenges.
✨Tip Number 2
Don’t just prepare for the technical stuff; think about how you can fit into the team. Research the company culture and be ready to share how your ideas can contribute to their data initiatives. We love a good team player!
✨Tip Number 3
Practice makes perfect! Set up mock interviews with friends or use online platforms to simulate the interview process. This will help us feel more confident when it’s time to chat with the Lead Engineer.
✨Tip Number 4
Finally, don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who are eager to dive into the world of data engineering.
We think you need these skills to ace Mid Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, especially with Azure Synapse and Python. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
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 contribute to our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Coding Skills: Since this role is heavy on coding, consider including links to any relevant GitHub repositories or projects. We want to see your coding style and problem-solving abilities, so let us see what you’ve got!
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 our team!
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 processes or solved problems using them.
✨Show Off Your Coding Skills
Since this role is heavy on coding, be prepared to dive into technical discussions about Python and ETL processes. Practise explaining your code and the thought process behind it, as the Lead Engineer will likely want to see how you approach problem-solving.
✨Engage with the Team
During the final stage, you'll meet the team, so don't just focus on impressing the Technical Director. Ask questions about their current projects and how they collaborate. This shows you're interested in being part of the team and can help you gauge if it's the right fit for you.
✨Prepare for AI & ML Conversations
Since the position involves learning new AI and ML tools, be ready to discuss any relevant experience you have. If you’ve worked with analytical platforms like Microsoft Fabric, share your insights and how you see these technologies evolving in the data engineering space.