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. The focus is on developing and delivering different solutions in 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 Key Responsibilities

• Personal and professional development of team members
• Empowering and motivating team members
• Hiring and ensuring the team members have appropriate competencies and skills
• Contribute to the delivery of the team with functionality and implementations
• Define standards, guidelines and best practices for the team in collaboration with other teams
• Regularly organize alignment meetings on specific topics to update colleagues on new developments practices.
• Define KPIs for team members and ensure individual and team growth

Your Tasks

• Lead the team for design, development, and deployment of fast and reliable ETL pipelines to load data via batch or near/real-time 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 and take care that these standards are fulfilled by the team.
• 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 Dev team by taking over responsibility for IaaS and platform operations and help to improve our software development processes with automation
• Improve the SDLC processes for more resilient code development, automated tests and faster deployments.
• Be in close alignment with Architects, Product owners and other senior Engineers to develop the overall goals of the One Data Platform and ensure the team is working along.

Your Profile

• +8 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
• Excellent experience with Data Warehousing and Data Modelling using SQL and ETL
• Excellent experience with cloud platforms, preferably Google Cloud, including services like BigQuery, Dataflow (Apache Beam), CloudRun, CloudFunction, PubSub, GCS, Cloud Composer (Airflow), Dataproc
• 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
• Experience in unit testing frameworks like Pytest/Unittest (Python) or JUnit (Java) and IaaC via Terraform and Knowledge in Shell Scripting is a plus
• Experience in leading Software development teams, alignments with other teams

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.