Job Title: Data Engineer (m/f/d)

Location: Hannover, Germany

About Us:

My client are a prominent German commercial bank, recognized for our commitment to quality, reliability, and innovation. As part of a comprehensive transformation program, they have streamlined their business model, embraced digitalization, and fostered a culture of innovation.

The commitment extends to social responsibility, sustainability, and diversity. Join the Group IT department, which is customer-centric, solution-oriented, and at the forefront of technological advancements. They prioritize a modern and dynamic work environment, offering 95% remote working and family-friendly policies.

Position Overview:

As a Data Engineer with expertise in cloud technologies and Python, you will play a crucial role in our Group IT department. You will actively contribute to the evolution of the Advanced Data Analytics platform, ensuring its efficiency and future-proofing. Your responsibilities will encompass data architecture, technical evaluations, and the implementation of data analysis requirements. Embrace the opportunity to work with cutting-edge technologies in a versatile and dynamic IT landscape.

Key Responsibilities:

• Actively control and enhance the data architecture on our Advanced Data Analytics platform (cloudera)
• Provide advice, support, and implement technical data evaluations and data analysis requirements
• Support architectural topics in the big data environment and integrate new technologies/design decisions
• Operate and further develop Analytics Microservices for a broad banking user group
• Evaluate new products and features on the platform, translating them into technical requirements for the data management team
• Design and implement automated data pipelines for processing unstructured data and structuring it in the data lake

Requirements:

• Degree in business/computer science or equivalent qualifications
• Good understanding of banking processes and contexts
• Proficient in data structures (e.g., relational, graph-like)
• Experience with Linux operating systems and strong knowledge of big data ecosystems (Hadoop)
• Very good SQL skills and programming experience in Python, PowerShell, VBA, and object-oriented languages (e.g., Java, C++)
• Excellent communication skills, confident demeanour, entrepreneurial thinking
• Strong analytical skills, high level of abstraction, initiative, and ability to work in a team
• Fluent in German and advanced English skills

Benefits:

• Remote work flexibility (up to 95% of individual working hours)
• State-of-the-art technical equipment for remote work
• Appreciative working atmosphere
• Flexible working time models
• Personal qualification and further development opportunities
• Emphasis on diversity in tasks and development