Festicket is hiring a

Lead Data Engineer (Python)

London Borough of Camden, United Kingdom

We are looking for a Lead Data Engineer to be part of our Data Team to design and implement a custom analytics data architecture based on our implementation of Google Analytics. The candidate required needs to be a confident programmer with experience in SQL, Python and some exposure to JavaScript. And have experience designing ETLs; managing and delivering databases and delivering data directly to business stakeholders.

Our goal is to build a data architecture to distribute insight throughout the business, enable enhanced analysis, and form the basis of our Business and Marketing Intelligence initiatives.

Your will be involved in the design of that data architecture, as well as the development and management of the implementation. Which will include scripting ETL, reporting, and quality assurance automations and providing ad hoc support for any maintenance and reporting requirements.

You will support and advise our Head of Data Analytics for all business intelligence, analytics and data architecture projects. This position in analytics will be the foundation of our data science function, offering a real and practical opportunity to to grow and learn technical skills in using big data to have an impact on one of the fastest growing music / travel companies.

The ideal candidate would be a logical and creative thinker. An experience using applied statistics and machine learning in a Big Data or eCommerce environment is a significant plus.

RESPONSIBILITIES

  • Work closely with our Head of Data Analytics, Engineers, Product Managers to to identify and implement the business requirements of a robust and flexible data architecture
  • Develop and maintain ETL processes and reporting responsibilities using SQL and Python
  • Contribute to the development of architecture and standards for a business metrics and product metrics warehouse
  • Identify and implement a Business Intelligence architecture
  • Implement systems for tracking data quality and consistency