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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 in West London.
- Benefits: Up to £70,000 salary, bonus, hybrid work model, and opportunities for growth.
- Why this job: Make an impact with your coding skills and explore innovative analytical platforms.
- 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.
Microsoft Azure Data engineer employer: FinTop Consulting
Contact Detail:
FinTop Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Azure Data engineer
✨Tip Number 1
Get familiar with the company and its projects before your interview. We want to see you engage with our work, so do a bit of homework on FinTop Consulting and their data initiatives. This will help you stand out and show us you're genuinely interested!
✨Tip Number 2
Practice your coding skills! Since this role is heavy on coding, brush up on your Python and ETL processes. We might throw some technical questions your way, so being prepared will give you the confidence to shine during the interview.
✨Tip Number 3
Be ready to discuss your past projects in detail. We love hearing about how you've tackled challenges in data engineering, especially with Azure tools. Share specific examples that highlight your problem-solving skills and creativity!
✨Tip Number 4
Don’t forget to ask questions! We want to see your curiosity and enthusiasm for the role. Prepare some thoughtful questions about the team dynamics or the tech stack we use. It shows us you're serious about joining our data team!
We think you need these skills to ace Microsoft 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 match the job description, so don’t be shy about showcasing your 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, so let us know what excites you about this role.
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 skills in action, so don’t hold back!
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 – just a few clicks and you’re done!
How to prepare for a job interview at FinTop Consulting
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially Azure Synapse and Azure Data Lake. Be ready to discuss your experience with these tools in detail, as well as any projects you've worked on that involved them.
✨Show Off Your Coding Skills
Since this role is heavy on coding, be prepared to demonstrate your Python skills. You might be asked to solve a coding problem or discuss how you've optimised ETL processes in the past, so have some examples ready.
✨Prepare for Technical Conversations
During the technical dive with the Lead Engineer, expect in-depth discussions about your previous work and the challenges you've faced. Think of specific scenarios where you identified pain points in existing code and how you approached optimising them.
✨Engage with the Team
In the final stage, you'll meet the team, so show your enthusiasm! Ask questions about their current projects and how they integrate new analytical platforms. This will not only show your interest but also help you gauge if the team is the right fit for you.