Senior Data Engineer

ppSelect how often (in days) to receive an alert: /p pflatexDEGIRO 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. /p pWith 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. /p pWant to know what it’s like to work for flatexDEGIRO? /p pCheck out our Instagram @lifeatflatexdegiro and meet the great people that makes us who we are Do you already see yourself as part of this team? /p pAs 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. /p h3This is what you’ll be doing /h3 ul liBuild secure ingestion, transformation, and retrieval pipelines for enterprise data. /li liDevelop scalable APIs and application components that support AI services and RAG-based solutions. /li liDesign and maintain data access patterns that are secure, governed, and aligned with compliance requirements. /li liWork with structured and unstructured data sources to support retrieval, vector search, and AI application needs. /li liCreate reusable data components, internal SDK patterns, and technical building blocks for future AI workloads. /li liEnable governed access to enterprise data sources in line with security, privacy, and internal control standards. /li liIntegrate AI services with existing CI/CD, observability, monitoring, and IT control processes. /li liCollaborate with AI Engineers, MLOps Engineers, architects, security, IT operations, and business stakeholders. /li liMaintain high standards for code quality, automation, performance, and operational resilience. /li liProactively identify ways to improve data availability, retrieval quality, and reusability across AI use cases. /li liActively use AI in your own engineering work to improve productivity, automation, testing, documentation, and delivery speed. /li liYou’ll bring us these skills /li /ul h3We are looking for an experienced engineer who can combine strong data engineering skills with software engineering discipline and a pragmatic AI mindset. You should be comfortable building foundations that others can reuse, extend, and scale. /h3 h3You’ll bring us these

skills:
/h3 ul li5 to 8 years of experience in software engineering, data engineering, platform engineering, or a similar technical role. /li liStrong hands-on experience with Python and SQL. /li liExperience building and delivering services in production environments. /li liStrong understanding of APIs, integration patterns, and secure enterprise architecture. /li liFamiliarity with vector databases, search, retrieval patterns, and RAG-related architectures. /li liExperience with CI/CD, containers, observability tooling, and modern engineering practices. /li liGood understanding of data governance, access control, security, privacy, and compliance requirements. /li liAbility to build reusable components, internal libraries, SDK patterns, or scalable technical foundations. /li liExperience with RAG-based applications or similar AI architectures would be considered an advantage. /li liFamiliarity with infrastructure automation and API security would be a plus. /li liBackground in financial services, fintech, banking, or another r