Senior Data Engineering & Platform Engineer (DBT)

About this kind of role

What a Senior Data Engineering & Platform Engineer (DBT) usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines and platforms to support data warehousing and analytics. This role focuses on optimizing data infrastructure for performance, scalability, and reliability, often working with large datasets. Responsibilities include developing and implementing data models, automating data processes, and ensuring data quality. They collaborate with data scientists, analysts, and other engineers to deliver data-driven solutions.

Tools and skills: Proficiency in SQL, cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies (Snowflake, Redshift, BigQuery), ETL/ELT tools, and programming languages such as Python or Scala is generally expected, alongside experience with dbt (data build tool).

Good fit for: Individuals with a strong analytical mindset, a passion for data, and experience in building and optimizing complex data systems often thrive in this role.