We are expanding our Surveillance & Regulatory Technology area and are looking for an experienced Data Engineer who will work on solutions that strengthen Deutsche Bank’s fraud-prevention capabilities. You will contribute to data pipelines used in real-time and batch processing, supporting analytics, compliance and Machine Learning workloads.

Responsibilities

• Develop and enhance data pipelines used for fraud-prevention and regulatory systems
• Implement real-time and batch data processing flows, from simple migrations to complex feature engineering
• Collaborate with Product Owners, Business stakeholders and Data Scientists to translate requirements into technical solutions
• Work with Data Architects and technical leads to design scalable pipelines
• Partner with Release Management and DevOps teams to ensure smooth production deployments

Required Skills

• 5+ years of experience as a Data Engineer
• 5+ years of experience with Python 3
• Strong SQL skills
• Hands-on experience with:
• Apache Airflow
• Apache Beam
• Data analysis/transformation libraries (Pandas, Polars etc.)
• Solid understanding of data engineering principles and best practices
• Experience integrating with APIs and filesystems

Benefits:

• 24 annual leave days + additional loyalty leave days starting with your 2nd year with us
• Free days for bank holidays falling on weekends
• Premium VIP medical subscription with Regina Maria
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Flexible working arrangements
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance

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