Market Data Technology Engineer

A Market Data Technology Engineer at Deutsche Bank is responsible for the development and maintenance of real-time market data platforms and APIs, such as TREP and RTDS. This role includes configuring and tuning market data infrastructure products in Unix/Linux environments, validating multiple vendor products, and providing third-level support for market data applications.

To apply for the Market Data Technology Engineer position at Deutsche Bank, candidates should have substantial experience with platforms like TREP and RTDS, working knowledge of Unix/Linux environments, and familiarity with market data vendors like LSEG and Bloomberg. A background in cloud migration will also be advantageous for applicants.

The Market Data Technology Engineer will work with multiple technologies including TREP, RTDS, and DACS platforms, as well as cloud infrastructure models like GCP and Anthos. A strong understanding of networking and firewalls is also essential.

Deutsche Bank promotes a hybrid working model for Market Data Technology Engineers, allowing for flexibility in work schedules. The company emphasizes a supportive culture with coaching from experts, continuous learning opportunities, and a commitment to diversity and inclusion.

Deutsche Bank offers a range of flexible benefits, coaching from experienced team members, and a culture of continuous learning to help Market Data Technology Engineers advance their careers. They also encourage employees to tailor their benefits to suit their needs.

In answering this question, you should outline your hands-on experience with TREP, detailing specific projects you’ve worked on, challenges you faced, and the outcomes. Highlight your understanding of its role in market data distribution and how you’ve configured and maintained its infrastructure.

Describe your familiarity with Unix/Linux, mentioning specific tools and techniques you've used for configuring and tuning market data infrastructure. Include examples that demonstrate your problem-solving skills and understanding of performance optimization.

When answering this, discuss a systematic approach to troubleshooting, such as identifying symptoms, isolating the root cause, and implementing solutions. Share specific examples of issues you've successfully resolved in previous roles.

Mention any direct experience you have with market data vendors. Talk about how you've collaborated with these vendors for data integration, support services, or implementing their platforms within your organization.

Outline your experience with cloud platforms such as GCP or AWS, emphasizing any migration projects involving market data technologies. Discuss the benefits and challenges of moving to a hybrid cloud model and your role in that process.

Discuss the compliance measures you’ve implemented in previous roles, as well as your familiarity with relevant regulations and best practices for data security. Provide examples that highlight your diligence in this area.

Highlight the importance of teamwork in meeting project goals and resolving issues. Discuss situations where collaboration improved project outcomes, and how you communicate effectively with diverse global teams.

Outline your methods for keeping current with industry trends, whether through professional networks, continuing education, or specific resources that you rely on to enhance your knowledge of market data technologies.

Share a detailed example of a project where you introduced new technology, discussing your role, challenges, and the overall impact on the organization’s market data capabilities.

Discuss the evolving nature of market data technology, highlighting issues such as data volume management, real-time processing demands, and the need for integrated solutions. Suggest potential strategies for overcoming these challenges.