About the area
As a Data Platform Engineer (d/m/w) you work in an internationally staffed, agile team within the Data & Analytics area of the Private Bank in Germany. You further develop the strategic data platform based on the Google Cloud Platform (GCP) and provide data for operational and analytical purposes.
Your focus is on Data Platform Engineering as well as the development and operation of ETL/ELT data pipelines. You work with various Google Cloud components and design solutions for the integration, modeling and transformation of data. At the same time, you contribute to the further development of the technical direction of the data platform and to Deutsche Bank's cloud strategy.
As member of the internationally staffed, agile teams of the OneDP-DE, you will be part of the "TDI PB Germany Data & Analytics". OneDP-DE is the new, strategic data platform of the Private Bank in Germany and uses the Google Cloud Platform as a basis. With Google as a close partner, Deutsche Bank follows its 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
•As Data Platform Engineer, you actively develop solutions for our cloud-based data platform and take on coding tasks within an agile Scrum team.
•You develop and operate reliable data solutions, integrate different data sources and provide data via batch as well as near-realtime processing.
•You model and transform data so it can be used for different operational and analytical purposes.
•In addition to development, you also take on tasks around Infrastructure as a Service (IaaS), platform operations and infrastructure components on the Google Cloud Platform (DevOps approach).
•You help shape the technical direction of the team and actively contribute your hands-on development expertise to the further development of the data platform.
•You support less experienced team members, conduct code reviews, and contribute to the continuous development of the team's engineering work through close collaboration.
Your knowledge and experience
•Several years of practical experience in application development with Java and/or Python.
•Project experience with the Google Cloud Platform and relevant GCP services such as Cloud Run, BigQuery, Pub/Sub, Composer, Dataproc or Dataflow.
•Knowledge of IaaS/PaaS deployments with Infrastructure-as-Code tools like Terraform, as well as CI/CD with Git, GitHub Actions or comparable deployment methods.
•Practical knowledge of data modeling and database systems, including relational databases and ideally document and key-value stores.
•Experience with data warehouses and extraction, transformation and loading of data via ETL/ELT processes in an enterprise environment.
•Proficiency in data processing with SQL and experience with data pipeline technologies such as Apache Spark, Apache Beam or Apache Airflow.
•Proven, effective use of AI tools to increase productivity, optimize processes and solve business problems, while making sound decisions and ensuring a responsible and conscientious handling of data and AI outputs.
What we offer
A broad range of benefits covering professional and personal needs:
•Emotionally balanced: consultation in difficult life situations and mental health support offerings.
•Physically fit: comprehensive check-ups, vaccination offers and advice on healthy living.
•Socially connected: support from pme family service, FitnessCenter Job, flexible working models (e.g. part-time, job tandem, hybrid working) and programs promoting diversity, equal opportunity and inclusion.
•Financially secure: pension contribution plans, banking services for employees, company bicycle or the "Deutschlandticket", exclusive employee rates and individual advice through the employee bank.
Benefits vary slightly by location; for specific questions, please contact your recruiter.
The position is offered full-time and part-time.
For questions about the recruitment process, Kilian Weber is available.
Contact Kilian Weber: +49 (30) 34073087
