(Senior) Databricks Engineer @ Capgemini

Your profile Engineer: 3 years in data engineering, with at least one year hands-on on Databricks in production. Senior Engineer: 5 years, at least three on Databricks, with hands-on work in at least three of: platform setup, batch and streaming pipelines, data modelling, migration, CI/CD and infrastructure as code, performance and cost tuning, and a track record of leading the technical side of a workstream. Strong Spark (PySpark or Scala) and SQL; Python; Delta Lake; Lakeflow pipelines and jo…