Diversity Statement

We build talented and diverse teams to drive business results. We welcome applications from talents from all cultures, countries, races, genders, sexual orientations, abilities, beliefs, and generations.

Area/ Team

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. Main 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

• Develop 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 and understand requirements and documentation
• Implement, test and debug code as well as deploy to all environments using CI/CD
• Work closely with all members of your team including architects and product owner to ensure that the project progresses smoothly. This involves pair programming, attending stand-up meetings and contributing to sprint planning

Your Profile

• +2 years Hands-on experience in Data Engineering including build of scalable Data pipelines using Python and/or Java with strong focus on writing clean, efficient and maintainable code
• 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)
• 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 using CI/CD pipelines via Github Actions
• Experience in unit testing frameworks like Pytest/Unittest (Python) or JUnit (Java) and IaaC via Terraform and Knowledge in Shell Scripting is a plus

Here you can find:

• 24 days’ holiday + loyalty days + bank holidays (week days offered for bank holidays on weekend days);
• Flexible working hours and working from home;
• Private healthcare and life insurance;
• A culture of continuous learning with coaching and support from experts in your team.

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.