Data Engineer

• Collect, process, and clean data from various sources
• Design and implement data models, ETL pipelines, and automation workflows
• Conduct in-depth data analysis and build predictive models to solve business challenges
• Develop reports and visualisations using Tableau, Google Data Studio, or Looker
• Work closely with clients to understand business problems and provide actionable insights
• Continuously improve internal workflows by automating repetitive tasks
• Support account expansion efforts by identifying opportunities to provide additional value to clients
• Report to the Head of Data and Engineering
• Work on medium- to large-scale projects across multiple industries

Explore Data Engineer at In Marketing We Trust. Review requirements and application details.