At a Glance
- Tasks: Evolve data environments and modernise legacy SQL processes into Azure.
- Company: Join Intellect Group, a forward-thinking tech company in London.
- Benefits: Generous bonus, 33 days holiday, and strong pension plan.
- Other info: Hybrid work model with opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and AI initiatives.
- Qualifications: 3+ years in Data Engineering, SQL, Python, and Azure tools.
The predicted salary is between 60000 - 80000 € per year.
Intellect Group is seeking a Data Engineer for its London team. This role involves evolving the data environment, modernizing legacy SQL Server processes into Azure, and optimizing data pipelines.
Ideal candidates will have:
- 3+ years in Data Engineering
- Proficiency in SQL and Python
- Exposure to Azure data tools
The position offers a generous bonus, 33 days holiday with an option to buy additional days, and a strong pension plan. This is an excellent opportunity for those interested in both current data projects and future AI initiatives.
Azure Data Engineer — Modernisation & AI (Hybrid, London) employer: Intellect Group
Intellect Group is an exceptional employer that fosters a dynamic work culture in London, where innovation meets collaboration. With a strong focus on employee growth, we offer extensive training opportunities and the chance to work on cutting-edge AI projects, all while enjoying generous benefits such as 33 days of holiday and a robust pension plan. Join us to be part of a forward-thinking team that values your contributions and supports your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer — Modernisation & AI (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to current employees at Intellect Group on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with SQL, Python, and Azure tools. This will help us stand out during interviews.
✨Tip Number 3
Stay updated on industry trends! Read up on the latest in data engineering and AI. Being knowledgeable about current projects can impress interviewers and show our passion for the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive tips and resources available there to help us ace the process.
We think you need these skills to ace Azure Data Engineer — Modernisation & AI (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Data Engineering, especially with SQL and Python. 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 excited about modernising data environments and working with Azure. Let us know how your background makes you a perfect fit for our team.
Showcase Your Azure Knowledge:Since this role involves Azure data tools, make sure to mention any specific experience you have with them. We love seeing candidates who are not just familiar but passionate about leveraging Azure for data solutions.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Intellect Group
✨Know Your Azure Inside Out
Make sure you brush up on your Azure data tools knowledge. Familiarise yourself with the latest features and best practices for modernising SQL Server processes into Azure. Being able to discuss specific tools and how you've used them in past projects will show you're ready for the role.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your proficiency in SQL and Python during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice common scenarios beforehand. Highlight any projects where you've successfully used these skills to improve data pipelines.
✨Discuss Your Data Engineering Experience
With 3+ years in Data Engineering, you’ll want to have a few key projects in mind that showcase your experience. Be ready to explain the challenges you faced, how you overcame them, and the impact of your work. This will help the interviewers see your problem-solving abilities and technical expertise.
✨Express Your Interest in AI Initiatives
Since this role involves future AI projects, make sure to express your enthusiasm for AI and how it relates to data engineering. Share any relevant experiences or courses you've taken that align with AI initiatives. This will demonstrate your forward-thinking mindset and eagerness to contribute to innovative projects.
