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For Companies At a Glance
- Tasks: Lead the design and optimisation of large-scale data infrastructure and machine learning pipelines.
- Company: Join Ticketmaster, part of Live Nation Entertainment, the world's largest live entertainment company.
- Benefits: Enjoy competitive salary, generous vacation, healthcare, and access to free live events.
- Why this job: Make a real impact in the live entertainment industry with cutting-edge data technology.
- Qualifications: Expertise in data engineering and ML engineering, with strong collaboration skills.
- Other info: Inclusive culture that values diversity and encourages personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
Location: Remote, United Kingdom
Division: Marketplace
Contract Terms: Full Time Permanent
THE TEAM
You will be joining the Data Science and Engineering team to help get the most value out of our real-time data streams with a focus on elevating business decisions and ensuring genuine fans have the best opportunity to buy tickets.
THE JOB
We are seeking a skilled Lead Data Engineer with ML Engineering expertise to design, build, and optimize large-scale data infrastructure and machine learning pipelines. You will play a hands-on technical leadership role, driving the architecture and implementation of data platforms that support advanced analytics and real-time decision-making. The ideal candidate will have a deep understanding of data platforms and tools, as well as experience designing and implementing complex ETL processes.
WHAT YOU WILL BE DOING
- Architect and implement scalable data infrastructure leveraging Databricks, Spark, and cloud platforms (AWS/GCP).
- Design and maintain robust data pipelines and ETL processes for structured and unstructured data.
- Develop and operationalize ML pipelines using MLflow, Git, and CI/CD best practices for model deployment and monitoring.
- Collaborate with Data Scientists, Product, and Engineering teams to define requirements and deliver high-quality data solutions.
- Ensure data quality, governance, and compliance with security and privacy regulations.
- Mentor and guide engineers, fostering a culture of technical excellence and continuous learning.
- Drive innovation in data and ML engineering, identifying opportunities for optimization and automation.
- Oversee mission-critical data systems ensuring reliability, scalability, and performance.
- Develop and maintain a deep understanding of the company's data landscape, identifying opportunities for improvement and innovation.
- Oversee the delivery of complex data-related projects, ensuring timely completion, quality, and adherence to budget and resource constraints.
WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS)
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Deep expertise in data engineering: Databricks, Spark, SQL, Kafka, and distributed computing frameworks.
- ML Engineering experience: MLflow, model versioning, deployment, and monitoring in production environments.
- Proficiency with cloud platforms (AWS or GCP) and containerization (Docker, Kubernetes).
- Good understanding of MLOps principles and CI/CD pipelines for ML workflows.
- Experience with data security and privacy compliance in ML systems.
- Proven track record of leading large scale data infrastructure in production.
- Bonus: Experience in e-commerce or real-time data environments.
YOU (BEHAVIOURAL SKILLS)
- Excellent problem-solving and analytical skills with a product-focused mindset.
- Strong collaboration and communication skills, able to work across technical and business teams.
- Strategic thinker with leadership capabilities and a passion for innovation in data and ML engineering.
- Curious and proactive, eager to explore new technologies and approaches.
LIFE AT TICKETMASTER
We are proud to be a part of Live Nation Entertainment, the world’s largest live entertainment company. Our vision at Ticketmaster is to connect people around the world to the live events they love. As the world’s largest ticket marketplace and the leading global provider of enterprise tools and services for the live entertainment business, we are uniquely positioned to successfully deliver on that vision.
We do it all with an intense passion for Live and an inspiring and diverse culture driven by accessible leaders, attentive managers, and enthusiastic teams. If you’re passionate about live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you.
Our work is guided by our values:
- Reliability - We understand that fans and clients rely on us to power their live event experiences, and we rely on each other to make it happen.
- Teamwork - We believe individual achievement pales in comparison to the level of success that can be achieved by a team.
- Integrity - We are committed to the highest moral and ethical standards on behalf of the countless partners and stakeholders we represent.
- Belonging - We are committed to building a culture in which all people can be their authentic selves, have an equal voice and opportunities to thrive.
EQUAL OPPORTUNITIES
We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities.
Lead Data Engineer (Remote, United Kingdom) employer: Live Nation International
Contact Detail:
Live Nation International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (Remote, United Kingdom)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data engineering and ML. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Lead Data Engineer (Remote, United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Databricks, Spark, and cloud platforms like AWS or GCP. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Don’t forget to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love candidates who can think strategically and come up with innovative solutions, so let us know how you’ve done this!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at Live Nation International
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Databricks, Spark, and cloud platforms. Brush up on your knowledge of ETL processes and ML pipelines, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to mentor and guide others. Prepare examples of how you've led projects or teams in the past, focusing on collaboration and innovation in data engineering.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your analytical skills. Think about challenges you've encountered in previous roles and how you resolved them, especially in relation to data quality and governance.
✨Align with Company Values
Familiarise yourself with the company’s values such as reliability, teamwork, and integrity. Be ready to discuss how your personal values align with theirs and how you can contribute to fostering a culture of belonging and innovation.
