Senior Data Engineer

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flatexDEGIRO SE operates the leading and fastest growing online brokerage platform in Europe. Based on modern, in-house state-of-the-art technology, customers of the flatex and DEGIRO brands are offered a wide range of independent products with execution on top TIER 1 exchanges. The technological edge, high efficiency and strong economies of scale enable us to continuously improve our service offering for clients and to set leading standards in terms of product, price and platform quality.

With more than 3,5 million customer accounts and more than 75 million securities transactions processed in 2025, flatexDEGIRO is the largest retail online broker in Europe. In times of bank consolidation, growing digitalization and the immanent need of millions of Europeans to take their financial future into their own hands, flatexDEGIRO is ideally positioned for further profitable growth.

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As a Senior Data Engineer you will join a newly forming AI Hub with the mission to build the data and application foundation behind scalable AI tools and platforms. Your work will directly shape how enterprise data is accessed, transformed, retrieved, and used to power AI solutions that improve the way our business operates and the way our clients experience our services.

This is not a role focused on building isolated data pipelines or supporting one-off prototypes. We are building AI capabilities that need to be secure, reusable, scalable, and ready for enterprise adoption. That means the data foundation behind them must be strong, well-designed, and practical enough to support real-world use.

We are looking for a builder who understands that great AI depends on great data engineering, robust software design, secure access patterns, and reliable retrieval foundations. Someone who thinks beyond the task, challenges existing patterns, and brings bold but practical ideas to the table. You should be comfortable operating in an evolving environment, actively using AI in your own work, and helping us shape reusable data capabilities that will support the future of AI across the company.

• Build secure ingestion, transformation, and retrieval pipelines for enterprise data.
• Develop scalable APIs and application components that support AI services and RAG-based solutions.
• Design and maintain data access patterns that are secure, governed, and aligned with compliance requirements.
• Work with structured and unstructured data sources to support retrieval, vector search, and AI application needs.
• Create reusable data components, internal SDK patterns, and technical building blocks for future AI workloads.
• Enable governed access to enterprise data sources in line with security, privacy, and internal control standards.
• Integrate AI services with existing CI/CD, observability, monitoring, and IT control processes.
• Collaborate with AI Engineers, MLOps Engineers, architects, security, IT operations, and business stakeholders.
• Maintain high standards for code quality, automation, performance, and operational resilience.
• Proactively identify ways to improve data availability, retrieval quality, and reusability across AI use cases.
• Actively use AI in your own engineering work to improve productivity, automation, testing, documentation, and delivery speed.
• You’ll bring us these skills