Data Engineering Manager

Live Nation; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Join a leading entertainment company as a Data Engineering Manager. You will lead a growing team, overseeing the development of data infrastructure to enhance business decisions and ensure seamless data solutions. Ideal candidates will possess deep knowledge of data platforms and strong managerial skills, play a key role in driving technical strategy, and collaborate with various stakeholders.

Qualifications

• Strong hands-on knowledge of data platforms and tools.
• Experience designing and implementing data pipelines and ETL processes.
• Good knowledge of ML ops principles to maintain machine learning models.

Responsibilities

• Lead the Data Engineering team in delivering high-quality data solutions.
• Collaborate with cross-functional teams to define technical requirements.
• Oversee the delivery of complex data-related projects.

Skills

Data platforms and tools

Data pipelines

ETL processes

ML ops principles

Collaboration

Analytical skills

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

Databricks

Spark

SQL

AWS

Google Cloud Platform

Git CI/CD

MLflow

Job description

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 Data Engineering Manager to join and lead our growing Data Engineering team and play a critical role in developing and maintaining our data infrastructure.

As a member of the Data Science and Engineering leadership team, you will be key in driving the technical strategy and vision for data infrastructure, ensuring alignment with business objectives, and overseeing the delivery of complex data-related projects.

The ideal candidate will have a deep understanding of data platforms and tools, as well as experience designing and implementing data pipelines and ETL processes.

WHAT YOU WILL BE DOING

• Lead the Data Engineering team in delivering high-quality data solutions that meet business needs
• Collaborate with cross-functional teams, including Data Science, Product, and Business stakeholders to define technical requirements and ensure effective communication of data-related projects
• Develop and maintain a deep understanding of the company's data landscape, identifying opportunities for improvement and innovation
• Define and implement the technical strategy for data infrastructure, including design, development, deployment, and maintenance of large-scale data systems
• Oversee the delivery of complex data-related projects, ensuring timely completion, quality, and adherence to budget and resource constraints
• Foster a culture of collaboration, knowledge-sharing, and continuous learning within the Data Engineering team
• Mentor junior engineers, providing guidance and support in their professional development
• Ensure compliance with data security and privacy policies, and implement appropriate access controls and data governance frameworks

WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS)

• Bachelor's or Master's degree in Computer Science, Engineering, or relevant experience hands-on with data engineering
• Strong hands-on knowledge of data platforms and tools, including Databricks, Spark, and SQL
• Experience designing and implementing data pipelines and ETL processes
• Good knowledge of ML ops principles and best practices to deploy, monitor and maintain machine learning models in production
• Familiarity with Git CI/CD and MLflow for managing and tracking code deployment or model versions
• Experience with cloud-based data platforms such as AWS or Google Cloud Platform

Nice to have:

• Experience with Kafka
• Proven track record of leading large scale data infrastructure in production
• Experience with container technologies (such as Docker) and orchestration technologies (such as Kubernetes)
• Experience working in ecommerce or retail industries
• An understanding of security measures related to ML models ensuring adherence to data privacy regulations

YOU (BEHAVIOURAL SKILLS)

• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data infrastructure issues
• Proficient collaborating with data scientists and operational teams to understand their requirements and assist implementation of complex data pipelines
• A deep product focused mindset, with a desire to understand your customers and what will make their use of your output easier and more efficient
• Curious by nature, enjoy looking into problems around your core tasks, experimenting with potential solutions
  

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.