Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and optimisation of our cloud-based data infrastructure.
- Company: Join Live Nation, a global leader in live entertainment and ticketing.
- Benefits: Enjoy hybrid work options and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering, impacting fan experiences worldwide.
- Qualifications: Expertise in Databricks, Scala, Python, and experience leading data teams required.
- Other info: Occasional out-of-hours work may be needed as part of a rota.
The predicted salary is between 54000 - 84000 £ per year.
A highly skilled Lead Data Engineer is needed to design, develop, and maintain our cloud-based data infrastructure, with a strong focus on Databricks. In this key leadership role, you will drive the architecture, implementation, and optimisation of our data platform, enabling robust data pipelines and analytics capabilities that power business-critical insights and real-time operations.
You will collaborate cross-functionally with engineering, product, and analytics teams to ensure data availability, quality, and performance, while also mentoring a team of data engineers and contributing to the long-term technical vision.
Please note: As our platform operates 24/7, occasional out-of-hours work and on-call support may be required as part of a rota.
What You Will Be Doing:
- Lead the architectural design, implementation, and ongoing optimization of our international data platform, aligned with enterprise-wide standards.
- Build and maintain scalable ETL/ELT data pipelines using Databricks, Spark, and related technologies.
- Optimize Databricks clusters, workflows, and jobs to ensure cost efficiency and high performance.
- Design and manage data lakes, data warehouses, and associated infrastructure to ensure data accuracy, integrity, and availability.
- Write high-quality, efficient code in Scala, Python, and Spark, following best practices for maintainability and scalability.
- Develop and implement robust monitoring, alerting, and error-handling mechanisms to ensure pipeline reliability.
- Partner with business stakeholders, product managers, analysts, and engineers to understand data needs and deliver effective solutions.
- Lead technical discussions, guide architectural decisions, and clearly communicate complex data concepts to both technical and non-technical audiences.
- Mentor and support the professional growth of data engineers within the team.
- Enforce strong standards for data governance, security, privacy, and compliance.
- Maintain comprehensive documentation of data systems, pipelines, and processes.
- Provide on-call support as part of a shared team rota to ensure platform availability.
About You:
- Proven expertise working with Databricks, including Unity Catalog.
- Strong programming skills in Scala, Python, Spark & SQL/MYSQL.
- Solid experience with version control systems, particularly Git.
- Strong background in designing and optimizing complex data pipelines and infrastructure.
- Experience leading and mentoring technical teams of data engineers.
- Deep understanding of data warehousing, ETL/ELT patterns, and real-time data processing.
- Strong problem-solving and analytical skills, with meticulous attention to detail.
- Ability to work proactively, identify challenges, and implement improvements.
- Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical audiences.
- Collaborative mindset, capable of working cross-functionally in a fast-paced, evolving environment.
- Eagerness to learn and adapt to emerging technologies.
Lead Data Engineer employer: Live Nation Entertainment, Inc.
Contact Detail:
Live Nation Entertainment, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its features, especially Unity Catalog. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your expertise and readiness for the role.
✨Tip Number 2
Prepare to showcase your leadership skills by thinking of examples where you've successfully mentored team members or led projects. This will help you illustrate your ability to guide a team of data engineers effectively.
✨Tip Number 3
Brush up on your knowledge of ETL/ELT processes and be ready to discuss how you've designed and optimised data pipelines in previous roles. This will highlight your technical capabilities and problem-solving skills.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. Since you'll need to communicate with both technical and non-technical audiences, being able to convey your ideas clearly will set you apart from other candidates.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Lead Data Engineer role. Focus on your expertise in Databricks, Scala, Python, and your experience with data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Live Nation's mission. Mention specific projects or achievements that demonstrate your leadership and technical skills.
Showcase Your Technical Skills: In your application, provide examples of your work with ETL/ELT processes, data warehousing, and any experience leading teams. Use metrics to quantify your impact where possible.
Prepare for Technical Questions: Anticipate technical questions related to data architecture, pipeline optimisation, and programming languages. Be ready to discuss your problem-solving approach and how you mentor others in a team setting.
How to prepare for a job interview at Live Nation Entertainment, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, Scala, Python, and Spark in detail. Bring examples of past projects where you designed and optimised data pipelines, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Since the role involves explaining complex data concepts to both technical and non-technical audiences, practice articulating your thoughts clearly. Use simple language when necessary to ensure everyone understands your points.
✨Demonstrate Leadership Qualities
As a Lead Data Engineer, you'll be expected to mentor others. Prepare to share your experiences in leading teams, guiding architectural decisions, and how you've supported the professional growth of your colleagues.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills and ability to handle challenges. Think of specific instances where you identified issues in data pipelines and how you implemented effective solutions.
