Senior Engineer - PD

Role Description

Our team is part of the area Technology, Data, and Innovation (TDI) Private Bank. Within TDI, Partner data is the central client reference data system in Germany. As a core banking system, many banking processes and applications are integrated and communicate via >2k interfaces. From a technical perspective, we focus on mainframe but also build solutions on premise cloud, restful services, and an angular frontend. Next to the maintenance and the implementation of new CTB requirements, the content focus also lies on the regulatory and tax topics surrounding a partner/ client. We are looking for a very motivated candidate for the Cloud Data Engineer area.

Your key responsibilities

• You are responsible for the implementation of the new project on GCP (Spark, Dataproc, Dataflow, BigQuery, Terraform etc) in the whole SDLC chain
• You are responsible for the support of the migration of current functionalities to Google Cloud
• You are responsible for the stability of the application landscape and support software releases
• You also support in L3 topics and application governance
• You are responsible in the CTM area for coding as part of an agile team (Java, Scala, Spring Boot)

Your skills and experience

• You have experience with databases (BigQuery, Cloud SQl, No Sql, Hive etc.) and development preferably for Big Data and GCP technologies
• Strong understanding of Data Mesh Approach and integration patterns
• Understanding of Party data and integration with Product data
• Your architectural skills for big data solutions, especially interface architecture allows a fast start
• You have experience in at least: Spark, Java ,Scala and Python, Maven, Artifactory, Hadoop Ecosystem, Github Actions, GitHub, Terraform scripting
• You have knowledge in customer reference data, customer opening processes and preferably regulatory topics around know your customer processes
• You can work very well in teams but also independent and are constructive and target oriented
• Your English skills are good and you can both communicate professionally but also informally in small talks with the team