Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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, and 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 provide 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 during discussions.
✨Tip Number 2
Brush up on your SQL skills, especially complex queries and data manipulation techniques. Being able to demonstrate your proficiency in SQL during technical interviews can significantly boost your chances.
✨Tip Number 3
Prepare to discuss your previous projects where you've implemented data engineering solutions. Be ready to explain the challenges you faced and how you overcame them, as this shows your problem-solving abilities.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who have experience with Power BI. Engaging in relevant communities can provide insights and potentially lead to referrals for the position.
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 application 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 Technical Skills
Be prepared to discuss your experience with SQL and Power BI in detail. Bring examples of past projects where you successfully implemented data engineering solutions, especially those involving Azure Databricks or Azure Data Lakes.
✨Understand the Company’s Data Needs
Research the company’s data architecture and challenges they might be facing. This will allow you to tailor your responses and demonstrate how your skills can specifically address their needs.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, as this will show your analytical skills and how you approach complex data issues.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future data initiatives. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
