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- Tasks: Build automated data pipelines and mentor junior team members.
- Company: Globally recognised consultancy with a focus on technical excellence.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Other info: Join a dynamic team that values inclusivity and innovation.
- Why this job: Work on complex projects across the UK and enhance your technical skills.
- Qualifications: Strong experience with Azure tools, SQL, and Python programming.
The predicted salary is between 50000 - 70000 £ per year.
A globally recognized consultancy is expanding its engineering team and seeking talented Data Engineering Consultants at various levels. The role includes building automated data pipelines and mentoring junior members. Strong experience with Azure tools and programming skills in SQL and Python are required. This role offers a unique opportunity to work on complex projects across the UK with a focus on technical excellence and an inclusive culture.
Azure Data Engineer — Pipelines, Data Lakes & AI employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer — Pipelines, Data Lakes & AI
✨Tip Number 1
Network like a pro! Reach out to current employees at the consultancy on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your experience with Azure tools, SQL, and Python. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineering roles. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace Azure Data Engineer — Pipelines, Data Lakes & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure tools, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our team. We love seeing passion and personality, so let that come through!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've built automated data pipelines or tackled complex data challenges. We’re looking for engineers who can think critically and innovate, so share those success stories!
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 Xcede
✨Know Your Azure Tools
Make sure you brush up on your knowledge of Azure tools. Familiarise yourself with the specific services related to data pipelines and data lakes, as well as any recent updates or features. Being able to discuss how you've used these tools in past projects will show your expertise.
✨Showcase Your Coding Skills
Prepare to demonstrate your programming skills in SQL and Python. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Be ready to explain your thought process and how you approach problem-solving.
✨Highlight Mentorship Experience
Since the role involves mentoring junior members, think about examples from your past where you've guided others. Share specific instances where your mentorship made a difference, showcasing your leadership skills and ability to foster an inclusive culture.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data engineering concepts. Review common interview questions related to data pipelines, ETL processes, and AI integration. Practising your answers will help you feel more confident during the interview.