Senior Cloud Data Engineer

Position Overview

Deutsche Bank Technology in Berlin is a global team of tech specialists with a strong focus on technical excellence, utilizing cutting-edge technologies. Our Berlin location is rapidly expanding, committed to building a diverse workforce and offering excellent opportunities for talented engineers. Teams operate with agile methodologies to create #GlobalHausbank solutions.

The Merchant Solutions Technology group provides the Corporate Bank with a dedicated team focused on capitalizing on evolving technology to deliver new products and innovation in an Agile FinTech-like setup. We deliver innovative products like API-based solutions for marketplaces and merchants to streamline payment processing and settlement activities.

As part of our new data team at the Berlin Tech Hub, you will collaborate closely with business stakeholders and product managers in an agile environment to address business intelligence needs across anti-financial crime, risk management, and product development for Merchant Solutions.

As a Senior Cloud Data Engineer, you will be responsible for the end-to-end delivery of robust data solutions to achieve our business goals.

Your Key Responsibilities

• Design, develop, and deliver scalable and reliable cloud-based data solutions within a cross-functional team, enabling transaction monitoring, regulatory reporting, and data analytics capabilities for Deutsche Bank Merchant Solutions.
• Develop and enhance internal data collection and data management processes, ensuring data accuracy and reliability, and resolving data quality issues.
• Evaluate and introduce modern tools, technologies, and engineering practices to improve the performance, reliability, and usability of the data platform.
• Work closely with business stakeholders and subject matter experts (SMEs) to define target data models and identify proper data sources to solve real business problems.
• Provide hands-on technical guidance, mentorship, and support to other team members on data warehouse and data analytics platforms.

Your Skills And Experiences

• Strong hands-on experience in data engineering and data management via SQL, including building scalable data pipelines using Java and/or Python, and utilizing data pipeline tools such as Apache Spark, Apache Beam, or Apache Airflow.
• Experience working with cloud platforms, ideally Google Cloud Platform, including services like BigQuery, Dataflow (Beam), Pub/Sub, Cloud Run/Cloud Functions, and Cloud Composer.
• Practical knowledge of data modeling for OLTP and OLAP purposes and experience with various data storage technologies.
• Experience owning and optimizing data infrastructure using a DevOps approach, including Terraform and CI/CD pipelines (e.g., GitHub Actions).
• Familiarity with business intelligence and reporting tools such as Tableau or Looker Studio.

Key skills/competency

• Cloud Data Engineering
• Data Pipeline Development
• SQL
• Java/Python
• Google Cloud Platform (GCP)
• BigQuery
• Apache Spark/Beam/Airflow
• Data Modeling (OLTP/OLAP)
• DevOps
• CI/CD