Department Overview: The Financial Markets (FM) landscape is rapidly going through a process of digitisation, at the core of which is eTrading. eTrading at ING covers all products traded in ING FM. These span from the very liquid and electronic products (cash equities, futures, commodities and FX), Fixed Income products (corporate and government bonds) which are in the process of becoming electronic due to balance sheet reduction and regulation, to the less liquid and less electronic derivative products. Data is core to eTrading and eTrading also covers the data and business intelligence strategy. Main Duties and Responsibilities of Role: As the KDB Technical Lead, you will own the technical vision and delivery of the KDB data platform, ensuring it remains robust, high-performing, and aligned with business needs. Your responsibilities include: Defining and driving the technical roadmap for the platform to support evolving stakeholder requirements. Ensuring platform reliability and scalability, implementing best practices for performance and resilience. Collaborating with internal teams and external partners to design and deliver high-quality, fit-for-purpose data solutions. Providing technical leadership and guidance, fostering innovation and continuous improvement across the platform. Career Potential This role provides exceptional opportunities for professional growth within ING’s Financial Markets technology ecosystem. You will: Shape strategic data initiatives that influence global trading and analytics capabilities. Develop leadership and technical expertise, positioning yourself for senior roles in data engineering and platform architecture. Collaborate across global teams, gaining exposure to diverse markets, cutting-edge technologies, and innovative solutions. Experience/Knowledge Essential Extensive experience in KDB+/q development and platform architecture, including performance tuning and optimization. Deep understanding of low-latency, high-availability systems for electronic trading environments. Strong knowledge of data modelling, cleansing, and validation processes within time-series and tick data contexts. Ability to manage relationships with upstream and downstream data stakeholders, ensuring smooth data flows and integration. Proven experience in Agile delivery models, with a collaborative and iterative approach to solution design. Desirable Familiarity with data visualization tools, such as KX Dashboards or similar BI platforms. Working knowledge of Python and other data interfaces, enabling integration and automation beyond q. Exposure to cloud-based architectures or containerization for KDB deployments. Experience with monitoring and alerting frameworks for real-time data platforms. Personal Competencies Essential Strong problem-solving and analytical mindset, with the ability to tackle complex technical challenges. Hands-on mentality, comfortable taking ownership and driving initiatives to completion. Calm under pressure, maintaining focus and clarity in high-stakes environments. Ability to work independently and lead technical initiatives, with minimal supervision. Creative thinker with a passion for technology, continuously seeking innovative solutions. Proactive and driven, always striving to improve performance and efficiency. Challenger of the status quo, committed to finding better ways of working. Excellent communication and stakeholder management skills, fostering trust and collaboration. Genuine team player, promoting knowledge sharing and cross-team cooperation. Agile Way of Working. Desirable Customer and product focus, ensuring solutions deliver real business value. Clear, concise, and transparent communicator, able to articulate technical concepts to non-technical audiences. Global mindset, comfortable working across diverse teams and cultures. 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