Leap29 is seeking a Data Engineer to work on large-scale data projects, building reliable pipelines and scalable solutions to process and transform data from multiple sources. You will design, build and maintain pipelines, transform data across models, and develop reusable solutions using Python and best practices.
The role requires strong Python skills, experience with cloud platforms (Azure), Spark/Databricks, and data storage technologies such as Parquet/Delta Lake.
#J-18808-Ljbffr
As a Data Engineer | Scalable Pipelines & Cloud Data, you will play an important part at Leap29 in Greater London, England, United Kingdom.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Data Engineer | Scalable Pipelines & Cloud Data role in the description above.
We appreciate your interest in this position.