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Appsierra Group is seeking a Data Scientist specialized in transaction monitoring to design and enhance the data model and manage large-scale data pipelines. You will develop production‑ready PySpark code and collaborate with Rabobank data producers to ensure data quality and availability.
The ideal candidate has 4+ years of experience, a Master’s in a STEM field, and strong English communication skills. Databricks and Azure experience are a plus, as is medallion architecture knowledge.
We are seeking a Data Scientist specialized in transaction monitoring to join our team. You will develop and improve the transaction monitoring data model and work with large‑scale data pipelines.
Key responsibilities
Develop and maintain the transaction monitoring data model for global data sources.
Write and optimise production‑ready PySpark code to process large data flows at scale.
Help build and maintain a monorepository and onboard new regions to the data model.
Coordinate with data producers across Rabobank to ensure data quality and availability.
Collaborate with developers creating transaction monitoring logic, providing reliable data.
Required qualifications
At least 4 years of relevant work experience.
Experience as a Data Scientist or Data Engineer.
Strong proficiency with Python and PySpark.
Professional proficiency in English and strong communication skills.
Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Information Studies or a comparable STEM field.
Nice to have
Experience in an IT environment.
Experience with Databricks.
Experience with Microsoft Azure.
Knowledge of medallion architecture.