In this presentation, we delve into the pivotal role of data quality in the realm of analytics engineering, unraveling its profound impact on the success of data pipelines. The discussion underscores the necessity for automated data quality checks, shedding light on the challenges encountered by data engineers in their quest for ensuring data accuracy.