Senior Cloud Data Engineer (f/m/x) - Corporate Bank Technology - Merchant Solutions
Deutsche Bank
Berlin, Germany
Hybrid
Cloud-based data solution design
Scalable data pipelines in java/python
Data pipeline tools (spark, beam, airflow)
Design, develop, and deliver scalable and reliable cloud-based data solutions for transaction monitoring, regulatory reporting, and data analytics
Job Summary
Design, develop, and deliver scalable and reliable cloud-based data solutions for transaction monitoring, regulatory reporting, and data analytics.
Work closely with business stakeholders and subject matter experts to define target data models and identify proper data sources to solve real business problems.
Evaluate and introduce modern tools, technologies, and engineering practices to improve the performance, reliability, and usability of the data platform.
Matching Summary
Design, develop, and deliver scalable and reliable cloud-based data solutions for transaction monitoring, regulatory reporting, and data analytics.
Skills & Requirements
Must-have
Cloud-based data solution design
Scalable data pipelines in Java/Python
Data pipeline tools (Spark, Beam, Airflow)
Google Cloud Platform (GCP) experience
BigQuery, Dataflow, Pub/Sub
Data modeling (OLTP, OLAP)
DevOps approach for data infrastructure
Nice-to-have
Agile FinTech-like setup
Promoting technical excellence
Diverse workforce and inclusive environment
Mentorship and technical guidance
Business intelligence and reporting tools
Key Requirements
Strong hands-on experience in data engineering and data management via SQL
Experience with data pipeline tools (Apache Spark, Apache Beam, Apache Airflow)
Experience with Google Cloud Platform (GCP)
Practical knowledge of data modeling
Experience owning and optimizing data infrastructure using a DevOps approach
Familiarity with BI and reporting tools (Tableau, Looker Studio)