Description
DB Global Technology is Deutsche Bank’s technology centre in Central and Eastern Europe. Since its set-up in 2013, Bucharest Technology Centre (BEX) has constantly proven its capacity to deliver global technology products and services, playing a dynamic role in the Bank’s technology transformation.
We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas.
Our AFC(Anti-Financial Crime) team is responsible for protecting Deutsche Bank from financial and reputational losses incurred by financial crimes by assessing, controlling and mitigating risks. Risk types related to Anti-Financial Crime are consolidated in a comprehensive and effective risk management framework that covers Anti-Money-Laundering, Sanctions & Embargoes, Anti-Bribery & Corruption as well as Anti-Fraud & Investigations.
Responsibilities
- Develop and deploy big data anti-fraud detection solutions and models using Python and PySpark
- Collaborate with other team members to understand requirements, analyze and refine stories, design solutions, implement them, test them and support them in production
- Write code and write it well, using test-driven development, writing clean code and refactoring constantly
- Design and develop excellent and understandable server-side code
- Develop or be willing to learn big data machine learning solutions
- Collaborate closely with product owners, analysts, developers and testers to ensure we are building the right thing
- Define and evolve the architecture of the components you are working on
- Ensure that the software you build is reliable and easy to maintain in production
- Help your team build, test and release software with short lead times and a minimum of waste
- Work to develop and maintain a highly automated Continuous Delivery pipeline
- Help create a culture of learning and continuous improvement within your team and beyond
Benefits
- Empowering managers who value your ideas and decisions
- A professional, passionate, and fun workplace with flexible Work from Home options
- A modern office with fun and relaxing areas to boost creativity
- Continuous learning culture with coaching and support from team experts
- Private healthcare and life insurance with premium benefits for you and discounts for your loved ones
- Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more
- Competitive income, performance-based promotions, and a sense of purpose
Requirements
- Data Engineering & Big Data: Spark, Spark SQL, PySpark, DataFrames, Hadoop, HDFS, Hive, YARN, distributed computing – 7+ years
- Python & Data Analytics: Python, PySpark, Pandas, NumPy, data mining, Scikit-learn/ML – 5–7+ years
- Databases & Performance: SQL, Oracle, Hive, Impala, query and processing optimization – 7+ years
- Cloud & Modern Data Platforms: Google Cloud Platform, cloud data processing, scalable data solutions – 3–5+ years
- AI, GenAI & Agentic AI: LLMs, AI Agents, RAG, tool/function calling, prompt engineering, agent orchestration, evaluation & guardrails – 2–3+ years AI/GenAI exposure
- Engineering, DevOps & Automation: Linux/Unix, Shell, Git, Bitbucket, CI/CD, Control-M – 5+ years
- Agile & Technical Delivery: Agile/Scrum, Jira, Confluence, solution ownership, technical leadership, stakeholder engagement – 5+ years