Take ownership of the company’s early stage data infrastructure and help shape how it evolves
Build and maintain data pipelines and models in GCP using BigQuery, SQL and Python
Develop reliable Python pipeline code using tools such as requests and pandas
Build and maintain API integrations across platforms including Meta, TikTok, YouTube and X
Expand pipelines into internal systems such as CRM platforms, project management tools and Slack
Implement data validation, monitoring and quality checks to ensure reliability
Help establish metric definitions and consistent reporting standards across platforms
Schedule and orchestrate data workflows using GCP tools such as Cloud Composer
Work with teams across Social, Editorial, Commercial and Studio to deliver reporting and dashboards
Document pipelines, definitions and processes so the data function can scale properly over time

Experience building and maintaining production data pipelines
Strong SQL skills and experience with BigQuery or a similar warehouse
Strong Python skills for data pipelines and API integrations
Experience working with APIs and ingesting external platform data
Familiarity with modern data modelling tools such as dbt or Dataform
Experience with orchestration tools such as Cloud Composer, Airflow or similar
Experience connecting data models to BI platforms such as Power BI, Looker or similar
Ability to work with stakeholders and prioritise requests across teams

Data Engineer – Mid Level

Key skills