Senior Data Platform Engineer (wdm)

As a Senior Data Platform Engineer (wdm), you will play a key role in designing and scaling high-performance, data-intensive systems. You will work on platforms that handle significant traffic, power digital services, and support mission-critical processes.You will own the full lifecycle of the services you build - from architecture and development to deployment, monitoring, and ongoing optimization.

• Speichern, My client is an established technology-driven company with a strong focus on digital products and large-scale platforms. They develop and operate systems that process high volumes of data and support a broad audience across various digital touchpoints.

Their engineering culture emphasizes modern cloud architectures, automation, and the meaningful use of AI to build forward-looking digital services. Teams work cross-functionally and combine software engineering, data expertise, and infrastructure knowledge to continuously evolve complex systems.

Aufgabengebiet

• Design and develop distributed, scalable data and backend systems
• Take responsibility for the full system lifecycle, including architecture, implementation, testing, deployment, and operations
• Build and maintain data models, pipelines, and APIs to ensure robust and reliable data flows
• Optimize performance, observability, and system behavior across existing platforms
• Collaborate closely with engineering, data, and product teams
• Explore new technologies, bring in fresh ideas, and help raise technical standards across the organization

• Degree in Computer Science, Engineering, or a related field - or equivalent experience through impactful work
• Professional experience in software engineering, ideally with distributed or large-scale systems
• Strong proficiency in at least two modern programming languages (e.g., one statically typed and one dynamic or functional language)
• Hands-on experience with cloud environments such as AWS, GCP, Azure, or similar
• Proven background in event-driven architectures, real-time data processing, or multi-region systems
• Deep understanding of modern data processing paradigms (e.g., orchestration, modeling, schema evolution, versioning, query optimization)
• Solid foundation in system design, observability, software lifecycle management, and reliability engineering
• Strong communication skills and the ability to mentor and collaborate effectively across teams

• Continuous learning mindset
• Complimentary meals: Enjoy a free breakfast snack and a freshly prepared lunch each day in our in-house cafeterias.
• Time to recharge: Benefit from 30 days of annual vacation plus up to 10 days of remote work from within the EU each year.
• Holistic wellbeing support: From fitness and sports programs
• Modern equipment & workspace: Choose from high-quality tech equipment for both the office and your remote setup
• Team-centric working model: Collaboration thrives through direct interaction - therefore, they work primarily on-site (around 80% office presence, 20% mobile work)

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