Lead Data Engineer

Lead Data Engineer

Sunderland Full-Time 48000 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and optimisation of our cloud-based data infrastructure using Databricks.
  • Company: Join Live Nation, a global leader in live entertainment, enhancing fan experiences across 59 countries.
  • Benefits: Enjoy a permanent role with opportunities for mentorship and collaboration in a dynamic environment.
  • Why this job: Be at the forefront of data engineering, driving insights that impact millions of fans worldwide.
  • Qualifications: Proven experience with Databricks, Scala, Python, and strong leadership skills required.
  • Other info: Occasional out-of-hours work may be needed; join a passionate team dedicated to innovation.

The predicted salary is between 48000 - 72000 Β£ per year.

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LEAD DATA ENGINEER

Location: London (Hybrid)

Division: Live Nation International

Contract Terms: Permanent

About Live Nation

The Live Nation Digital Tech Team (LNDT) drives the fan experience across 36 international Live Nation sites, covering 59 countries and 33 languages. We are truly responsible for the online face of the business and are the team who help fans discover and buy the tickets they just cannot miss out on. As well as our core business with the Live Nation sites, we support and manage over 200 festival and venue sites who work independently but within our framework and we are required to meet their needs whilst allowing them autonomy.

THE JOB

We are looking for a highly skilled Lead Data Engineer 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.

A job description is a written statement of the essential characteristics job, with its principal responsibilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects the duties and skills involved.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology

  • Industries

    Entertainment Providers

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Lead Data Engineer employer: Live Nation Entertainment

Live Nation Entertainment is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the entertainment industry. As a Lead Data Engineer in London, you will have the opportunity to shape the future of data infrastructure while enjoying comprehensive benefits, professional development opportunities, and a vibrant team environment that values creativity and growth.
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Contact Detail:

Live Nation Entertainment 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. Since this role heavily focuses on Databricks, showcasing your expertise in this area during discussions can set you apart from other candidates.

✨Tip Number 2

Prepare to discuss your experience with building and optimising ETL/ELT pipelines. Be ready to share specific examples of how you've improved data processing efficiency in previous roles, as this will demonstrate your hands-on skills.

✨Tip Number 3

Highlight your leadership and mentoring experience. Since the role involves guiding a team of data engineers, be prepared to talk about how you've supported the professional growth of others in your past positions.

✨Tip Number 4

Showcase your problem-solving abilities by preparing for technical discussions. Think of complex data challenges you've faced and how you resolved them, as this will illustrate your analytical skills and proactive mindset.

We think you need these skills to ace Lead Data Engineer

Databricks
Scala
Python
Spark
SQL/MYSQL
ETL/ELT Data Pipeline Design
Data Warehousing
Cloud-Based Data Infrastructure
Data Governance
Version Control (Git)
Monitoring and Alerting Mechanisms
Analytical Skills
Problem-Solving Skills
Technical Leadership
Cross-Functional Collaboration
Documentation Skills

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Databricks, Scala, and Python. Use specific examples of projects where you've designed and optimised data pipelines.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the role at Live Nation. Mention your experience in leading teams and collaborating cross-functionally, as these are key aspects of the job.

Showcase Technical Skills: Clearly list your technical skills related to the job description, such as ETL/ELT processes, data warehousing, and programming languages. Provide examples of how you've applied these skills in previous roles.

Prepare for Technical Questions: Anticipate technical questions related to data architecture and pipeline optimisation. Be ready to discuss your problem-solving approach and how you ensure data quality and performance in your projects.

How to prepare for a job interview at Live Nation Entertainment

✨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.

✨Understand the Business Context

Research Live Nation Entertainment and its digital tech team. Understand how they drive fan experiences and be ready to discuss how your role as a Lead Data Engineer can contribute to their goals and enhance their data infrastructure.

✨Prepare for Leadership Questions

As a lead position, expect questions about mentoring and leading teams. Think of specific instances where you guided junior engineers or made architectural decisions, and be ready to explain your thought process.

✨Communicate Clearly

Practice explaining complex data concepts in simple terms. You may need to communicate with both technical and non-technical stakeholders, so being able to adapt your communication style is crucial.

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