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Ticketmaster

Senior Data Engineer (Remote, United Kingdom)

Posted Yesterday
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In-Office or Remote
Hiring Remotely in Home of the Gilders, Gildersome, Leeds, England
Senior level
In-Office or Remote
Hiring Remotely in Home of the Gilders, Gildersome, Leeds, England
Senior level
As a Senior Data Engineer, you'll design and maintain data pipelines for real-time data integration, collaborate with data scientists, and optimize performance.
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Job Summary:

Senior Data Engineer

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 maximize the value 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 highly skilled Senior Data Engineer to join our team and play a critical role in developing and maintaining our data infrastructure. You will help shape the future of our data ecosystem and lead the design and implementation of robust, high-performance pipelines that power machine learning and innovation across the business.

The ideal candidate will have deep expertise in data platforms and tools, along with proven experience in building and optimizing data pipelines and ETL processes. You’ll collaborate closely with talented data scientists, leverage modern technologies, and contribute to a highly regarded function within the company. If you’re passionate about data engineering and want to join a team that values creativity, collaboration, and technical excellence, now is the perfect time to apply.

WHAT YOU WILL BE DOING

  • Work on very high-volume, real time data streams with billions of records daily
  • Design, implement, and maintain data pipelines and ETL processes that enable real-time data-driven decision-making.
  • Collaborate with cross-functional teams to define technical requirements, develop scalable solutions and support growing data needs.
  • Continuously monitor and evaluate data infrastructure performance and identify opportunities for improvement and optimization.
  • Ensure compliance with data security and privacy policies and implement appropriate access controls and data governance frameworks.
  • Collaborate with data scientists, analysts, and other stakeholders to ensure that data infrastructure supports their analytical needs and requirements.
  • Build and maintain data warehouses, and other data infrastructure components that ensure data quality, accuracy, and availability.

WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS)

  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent hands-on experience 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 MLOps 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
  • Experience with Terraform
  • 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 in 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. #LI-JCK #LI-Remote

Top Skills

AWS
Ci/Cd
Databricks
Git
Google Cloud Platform
Kafka
Mlflow
Spark
SQL
Terraform

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