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Nicoll Curtin in Switzerland is seeking an experienced Senior Data Engineer with a real software development background, not just ETL. You will help build a greenfield data processing application using Python on Spark, hosted in Azure Databricks as part of a large finance transformation program.
Experience with Spark or PySpark is essential, and Python is preferred; Java or Scala is acceptable if you are willing to work in Python.
Are you an experienced Data Engineer with an extensive background of true software engineering ideally within the financial services or other regulated industry? Do you have tangible hands on experience developing on Spark in either Python, Scala or Java? Are you interesting in developing a new data processing engine that is built on Databricks? If so this could be the perfect next Senior Data Engineer role for you.
The team have undertaken a large scale finance transformation program moving their finance and accounting systems to the cloud and developing the microservices integration services for it. They are now in the process of developing a greenfield data processing application built with Python, on Spark within Azure Databricks.
As such they are searching for an experienced Senior Data Engineer to join the team, who has experience of developing ACTUAL software, rather than purely ETL pipelines. What is essential is experience of using Spark or PySpark, Python experience is ideal however experience with JAVA or Scala is fine as long as you are willing to work in Python.
This is an urgent requirement however, given the challenge of finding the right profile, the team are willing to wait for candidates that have a notice period or are interested in relocating to Switzerland.