Data Engineer

Remote / permanent /

Nicolas Cambi

Data Engineering in the world of marketing analytics and insights 



Expanding and optimizing our data and data pipeline architecture

Work across all functional leads creating and/or implementing methods to improve data reliability and quality as well as optimizing data flow and collection

Build tools to provide actionable insights into key business performance metrics to optimize our services and create value for our clients

Automating manual processes to support our current and future data initiatives

Assemble large, complex data sets that meet analytics and business requirements

Apply best practices that enable a quality product while keeping our data separated and secure



2+ years of work experience with data warehousing, data modeling and building ETL pipelines using Python/C#/.NET

2+ years of work experience working with cloud-based technologies such as: Azure, AWS, or Google Cloud Platform

1+ years of work experience writing SQL queries across large datasets such as clickstream data (terabytes)

1+ years of experience working with data visualization tools such as Power BI, Tableau, or Looker

On-the-job experience with version control systems (e.g., Git) and DevOps best practices