Data Engineer

A global Publishing firm are currently undertaking a transformation program to optimise key systems, with a focus on data and analytics. 

They are Subject Matter Experts and platform owners for consumer data, eCRM, analytics, and business intelligence. As part of a collaborative digital expert community, the team works together to deliver outstanding services to our users and drive commercial success.
 

Responsibilities

• Build and support data pipelines, ensuring the smooth running of existing pipelines and integrating new datasets.
• Work closely with data product managers to understand their requirements and deliver robust and usable datasets and tools.

Essential

• Programming experience in Python
• Confident working with APIs and coding/scripting pipelines to surface and transform data into analysis-friendly assets using technologies like BigQuery or Amazon Redshift
• Experience in SQL (Postgres, T-SQL, MySQL, etc.) and the ability to interpret large datasets
• Strong focus on quality control and testing
• Effective communication across the organization, making complex and technical information accessible to non-technical audiences
• Time management skills, including the ability to manage your workload efficiently and maintain regular communication with senior team members on project development

Desirable

• Familiarity with Looker, Power BI, Google Data Studio
• Experience with R
• Web analytics technologies like Google Analytics/Firebase to design end-to-end data solutions that provide comprehensive digital insights
• Understanding of cloud technology (AWS, Google)