Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines while leading a team of engineers.
- Company: Join a dynamic team focused on data-driven decision-making.
- Benefits: Enjoy a role outside IR35 with opportunities for growth and mentorship.
- Why this job: Be at the forefront of data engineering, shaping solutions that impact the organization.
- Qualifications: Proven experience in data engineering, especially with Quantexa and Databricks.
- Other info: SC clearance is required; a degree in a related field is preferred.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a Lead Data Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining data pipelines and frameworks that support data-driven decision-making. You will work collaboratively with cross-functional teams to ensure data integrity and accessibility while providing technical leadership to junior engineers. This position is outside IR35.
Responsibilities:
-
Design and develop robust data pipelines using Quantexa and Databricks.
-
Collaborate with data scientists and analysts to understand data requirements and provide solutions.
-
Ensure the reliability, scalability, and performance of data systems.
-
Lead and mentor a team of data engineers, fostering a culture of continuous improvement.
-
Manage data integration processes and maintain data quality standards.
-
Implement best practises for data governance and security.
-
Participate in code reviews and contribute to architectural discussions.
-
Maintain up-to-date documentation for data systems and processes.
Proven experience as a Data Engineer, with a strong background in data pipeline development.
-
Expertise in Quantexa and Databricks.
-
Experience in leading technical teams and projects.
-
Strong understanding of data modelling and ETL processes.
-
SC clearance is required for this role.
-
Excellent problem-solving skills and attention to detail.
-
Strong communication and collaboration skills.
-
A degree in Computer Science, Engineering, or a related field is preferred.
Lead Data Engineer employer: BrightBox Group Ltd
Contact Detail:
BrightBox Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Make sure to showcase your experience with Quantexa and Databricks in your conversations. These tools are crucial for the role, so being able to discuss specific projects or challenges you've tackled using them will set you apart.
✨Tip Number 2
Highlight your leadership skills during interviews. Since this position involves mentoring junior engineers, be prepared to share examples of how you've successfully led teams and fostered a culture of continuous improvement.
✨Tip Number 3
Demonstrate your understanding of data governance and security best practices. This is a key responsibility in the role, so discussing how you've implemented these practices in past projects will show that you're a strong fit.
✨Tip Number 4
Prepare to discuss your problem-solving approach. The job requires excellent problem-solving skills, so think of specific instances where you've tackled complex data issues and how you arrived at effective solutions.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead Data Engineer position. Understand the key responsibilities and required skills, especially focusing on Quantexa and Databricks expertise.
Tailor Your CV: Customize your CV to highlight relevant experience in data pipeline development, team leadership, and any specific projects involving Quantexa and Databricks. Use keywords from the job description to make your application stand out.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for data engineering and your leadership experience. Mention how you can contribute to the team and align with the company's goals.
Highlight Technical Skills: In your application, emphasize your technical skills related to data modeling, ETL processes, and data governance. Provide examples of how you've implemented best practices in previous roles.
How to prepare for a job interview at BrightBox Group Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Quantexa and Databricks in detail. Highlight specific projects where you designed and implemented data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
Since this role involves leading a team of data engineers, share examples of how you've mentored junior engineers or led technical projects. Discuss your approach to fostering a culture of continuous improvement within your team.
✨Emphasize Collaboration
Collaboration with data scientists and analysts is key in this role. Prepare to talk about how you've worked with cross-functional teams in the past, focusing on how you gathered requirements and provided effective solutions.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills and attention to detail. Think of scenarios where you had to troubleshoot data quality issues or optimize data systems, and be ready to walk through your thought process.
