Senior Data Engineer – Cloud Pipelines & PySpark
Posted 6
views
Summary
Designs and builds scalable cloud data infrastructure, pipelines, and validation processes for JLL's Enterprise Data team, collaborating closely with data scientists and analysts. The core stack is PySpark, SQL, and Databricks, with a strong emphasis on data quality.
Jones Lang LaSalle Incorporated (JLL) is seeking a Data Engineer P2 to join its Enterprise Data team in a fast-paced, global setting. You will design and build scalable data infrastructure, pipelines, and validation processes using PySpark, SQL, and Databricks.
The role requires 3–5 years in data engineering or full-stack data work in cloud environments, with a strong focus on data quality and collaboration with data scientists and analysts.