Senior Data Engineer - Private Bank One Data Platform on Google Cloud (m/w/d)

Job Description:

As part of one of the internationally staffed, agile teams of the Private Bank One Data Platform, you will be part of the "TDI PB Enterprise & Data" department. Focus is on the development and delivery of different solutions in the area of data warehousing, reporting and analytics for the Private Bank to ensure that necessary data is provided for operational and analytical purposes.

The PB One Data Platform is the new, strategic data platform of the Private Bank and uses the Google Cloud Platform as a basis. With Google as a close partner, we are following Deutsche Bank's cloud strategy with the aim of transferring a significant proportion of today's on-prem applications to the Google cloud platform or building new ones there.

Your Tasks

• Lead the design, development, and deployment of fast and reliable ETL pipelines to load data via batch or near/realtime into our cloud-based data platform including modeling and transformation of the data to provide it to multiple Data consumers
• Write clean, maintainable, and efficient code while adhering to best practices and coding standards
• Provide technical guidance and mentorship to junior and mid-level developers
• Review code and design documents to ensure the delivery of robust and scalable solutions.
• Be part of our agile developer team by taking over responsibility for creating ETL pipelines and help to improve our software development processes with automation

Your Profile

• +5 years Hands-on experience in Data Engineering including build of scalable Data pipelines using Java and/or Python with strong focus on writing clean, efficient, and maintainable code
• Strong experience with Data Warehousing and Data Modelling using SQL and ETL
• Experience with cloud platforms, preferably Google Cloud, including services like BigQuery, Dataflow (Apache Beam), CloudRun, CloudFunction, PubSub, GCS, Cloud Composer (Airflow)
• Strong experience in using debugging tools and techniques to identify and fix complex issues
• Experience in SDLC including VCS via GIT, code reviews via pull requests and CI/CD pipelines via Github Actions
• Strong experience in unit testing frameworks like Pytest/Unittest (Python) or JUnit (Java) and IaaC via Terraform and Knowledge in Shell Scripting is a plus

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