Data Platform Engineer

We are looking for a Data Platform Engineer to join our internationally staffed, agile team in the Data & Analytics department of the Private Bank in Germany.

As a Data Platform Engineer, you will work on further developing the strategic data platform based on the Google Cloud Platform (GCP).

Your focus will be on data platform engineering and the development and operation of ETL/ELT data pipelines.

You will work with various Google Cloud components and design solutions for integrating, modelling, and transforming data.

At the same time, you will contribute to the further development of the technical orientation of the data platform and the cloud strategy of Deutsche Bank.

Key Responsibilities:

• Develop and operate reliable data solutions for our cloud-based data platform
• Integrate different data sources and provide data via batch and near-real-time processing
• Model and transform data for different operational and analytical application purposes
• Work on Infrastructure as a Service (IaaS), platform operations, and infrastructure components on the Google Cloud Platform (GCP) using a DevOps approach
• Contribute to defining the technical direction of the team and actively participate in development
• Support less experienced team members, conduct code reviews, and help create an attractive environment for the team

Requirements:

• Several years of practical experience in application development using Java and/or Python
• Experience with projects on the Google Cloud Platform using core GCP services (e.g., Cloud Run, BigQuery, Pub/Sub, Composer, Dataproc, Dataflow)
• Experience with IaaS/PaaS deployment using Infrastructure-as-Code tools like Terraform, as well as CI/CD using Git and GitHub Actions or other deployment methods
• Hands-on knowledge of data modelling and database systems, including relational databases, preferably including Document and Key Value Stores
• Experience in data extraction, transformation, and loading (ELT/ETL) for data warehouses in an enterprise context
• Broad knowledge of data processing via SQL, as well as experience in using data pipeline tools (Apache Spark, Apache Beam, Apache Airflow, etc.)
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs

What we offer:

• A comprehensive portfolio of benefits and offerings to support both your private and professional needs
• Emotionally and mentally balanced: consultation in difficult life situations, mental health awareness trainings, and more
• Physically thriving: health check-ups, vaccination drives, advice on healthy living and nutrition, and more
• Socially connected: PME family service, FitnessCenter Job, flexible working (e.g., part-time, hybrid working, job tandem), and more
• Financially secure: pension plans, banking services, company bicycle or “Deutschlandticket”, exclusive employee rates, and personalized financial advice through our “Mitarbeiterbank”