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, with skills in 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 collaborative and innovative work culture in the heart of London. With a focus on employee growth, we offer extensive training opportunities and a generous benefits package, including 33 days of holiday and a robust pension plan. Join us to be part of exciting data projects and future AI initiatives, all while enjoying the flexibility of a hybrid working model.
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 can really set us apart during interviews.
✨Tip Number 3
Stay updated on industry trends! Brush up on the latest in data engineering and AI. Being able to discuss current projects and future initiatives will impress the hiring team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and provide updates directly.
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 the opportunity at Intellect Group and how your background in modernising data environments fits perfectly with what we’re looking for.
Showcase Your Azure Knowledge:Since this role involves working with Azure data tools, make sure to mention any relevant experience you have. Whether it's migrating legacy systems or optimising data pipelines, we want to know how you can contribute to our team!
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 regarding your application status!
How to prepare for a job interview at Intellect Group
✨Know Your Azure Tools
Make sure you brush up on your knowledge of Azure data tools. Familiarise yourself with services like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Being able to discuss how you've used these tools in past projects will show that you're ready to hit the ground running.
✨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. Practising common data engineering tasks in both languages can help you feel more confident and showcase your technical abilities.
✨Discuss Legacy Modernisation Experience
Since the role involves modernising legacy SQL Server processes, be ready to share specific examples from your experience. Talk about challenges you faced, how you approached them, and the outcomes. This will highlight your problem-solving skills and your ability to adapt to new technologies.
✨Express Interest in AI Initiatives
This position offers exciting opportunities in AI, so make sure to express your interest in this area. Share any relevant projects or learning experiences you've had related to AI. Showing enthusiasm for future initiatives can set you apart as a candidate who is not just focused on the present but also on the future of data engineering.
