The primary responsibility involves serving as a gatekeeper for analytical data, defining and constructing sophisticated data pipelines and intelligent ETL processes. You will collaborate with architects, infrastructure experts, and data scientists to develop an automated money laundering prevention framework, focusing on data acquisition, testing, and continuous integration/continuous deployment processes.
Candidates are required to have a degree in computer science, mathematics, or physics, with a minimum of 7 years of professional experience in Python development and big data technologies. Strong expertise is needed in data processing pipelines, GCP, Hadoop, Apache Spark, and comprehensive understanding of data analytics and statistical methods. Experience in financial crime and banking transaction processes is highly valued.
Deutsche Bank offers a comprehensive benefits package including professional development opportunities, health and wellness programs, flexible working arrangements, financial security through pension plans, and a supportive, inclusive work environment. The bank emphasizes personal growth, mental well-being, and providing challenging opportunities for professional advancement.
