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- Tasks: Lead data engineering projects from inception to implementation using SQL and Power BI.
- Company: Join a forward-thinking tech company focused on innovative data solutions.
- Benefits: Enjoy flexible working options and access to cutting-edge technology.
- Why this job: Be part of a dynamic team making a real impact in the data landscape.
- Qualifications: Strong experience in SQL, Power BI, and Azure platforms required.
- Other info: Opportunity to work with advanced data engineering tools and techniques.
The predicted salary is between 43200 - 72000 £ per year.
I am looking for a Data Engineer with strong experience in SQL and Power BI. You will work on their Azure Databricks / Azure Data Lakes / SQL platforms through inception to implementation.
Must have the capability to create, implement, and maintain complex data engineering solutions for data acquisition and preparation. Will be expected to be providing specialist expertise in the field.
Lead Data Engineer employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with Azure Databricks and Azure Data Lakes. Having hands-on experience or projects showcasing your skills in these platforms will make you stand out as a candidate.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with SQL and Power BI. Engaging in relevant online communities or attending meetups can provide valuable insights and connections.
✨Tip Number 3
Stay updated on the latest trends and technologies in data engineering. Being knowledgeable about new tools and methodologies can demonstrate your commitment to continuous learning and innovation.
✨Tip Number 4
Prepare to discuss specific examples of complex data engineering solutions you've implemented in the past. Highlighting your problem-solving skills and expertise during interviews can significantly boost your chances of landing the job.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Power BI, and Azure platforms. Use specific examples of projects where you've implemented data engineering solutions to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your skills align with the job requirements. Mention your experience with Azure Databricks and Data Lakes, and how you can contribute to the company's goals.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the impact of your work. This will help the employer see your practical experience in action.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Lead Data Engineer role.
How to prepare for a job interview at Experis
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Bring examples of complex queries you've written and be ready to explain your thought process behind them. This will demonstrate your technical expertise and problem-solving abilities.
✨Familiarise Yourself with Azure Tools
Since the role involves working with Azure Databricks and Azure Data Lakes, make sure you understand how these tools function. Brush up on their features and be ready to discuss how you've used them in past projects or how you would approach using them in this role.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data engineering problems. Practice articulating your approach to data acquisition and preparation, as well as how you would maintain complex data solutions. This will show your analytical thinking and practical application of skills.
✨Demonstrate Leadership Qualities
As a Lead Data Engineer, you'll need to exhibit leadership skills. Be ready to discuss any previous experiences where you led a project or mentored others. Highlight your ability to collaborate with teams and drive projects from inception to implementation.
