About KX KX is the temporal AI infrastructure for capital markets, giving AI a sense of time, so every decision is grounded in when data was true, not just what it says. The KX portfolio normalizes market data across 250+ venues, capturing, sequencing, and replaying events at nanosecond precision. We enable firms to eliminate data fragmentation, meet regulatory auditability requirements, and build AI systems that are fast, accurate, and defensible across trading, risk, and compliance.
Trusted by 8 of the top 10 global investment banks and serving $50 trillion+ in assets under management, KX is the essential infrastructure for the world's most demanding financial institutions. We serve leading organizations across aerospace and defense and high-tech manufacturing, with offices across North America, Europe, and Asia Pacific.
Overview Of The Role KX is hiring a seasoned Lead Python Implementation Engineer, Financial Markets, to join our Implementation Team. In this role, you will lead the architecture, customization, and deployment of our proprietary OneTick-based financial products across AWS-hosted and client environments. You will design and optimize large-scale ETL frameworks, ensure high-performance distributed deployments, and serve as a trusted technical advisor to clients. This position offers the opportunity to directly influence product strategy, mentor junior engineers, and drive successful integrations for high-profile financial institutions.
Location & Workplace Type
This role follows a hybrid work model and requires regular in-office collaboration. Candidates should be based within commuting distance of one of our offices:
Belfast - The Weaving Works, Ormeau Avenue, Northern Ireland
Dublin - 1 George’s Quay Plaza, Dublin 2, Republic of Ireland
Responsibilities
Key Responsibilities
- Lead the architecture, customization, and deployment of OneTick-based solutions for financial market clients.
- Design, implement, and optimize large-scale ETL workflows and data-processing pipelines. Participate in improving implementation practices, tools, and delivery processes within the team.
- Ensure performance, reliability, and scalability of distributed deployments across AWS and client environments.
- Act as a technical advisor to clients, supporting integration strategy and providing best-practice guidance.
- Troubleshoot and resolve complex technical issues across distributed systems and production environments.
- Work closely with internal engineering and product teams to support successful client implementations.
- Provide technical input and feedback based on client requirements and real-world implementation experience.
- Mentor junior and mid-level engineers and contribute to knowledge sharing within the team.
Requirements
Skills - Strong technical leadership in implementation or data engineering contexts.
- Excellent problem-solving skills in complex, distributed system environments.
- Strong client-facing communication skills with the ability to translate technical topics into clear explanations. Ability to work effectively in fast-paced, customer-driven environments.
- Ability to design and optimize data pipelines and ETL workflows.
- Strong ownership mindset with the ability to drive issues to resolution.
- Collaboration skills across engineering, product, and client-facing teams.
Essential Experience - 6+ years of experience in Data Engineering, Software Engineering, or a related technical field.
- Expert-level Python development experience.
- Proven experience designing and maintaining large-scale ETL pipelines and data workflows.
- Strong hands-on experience with AWS cloud environments and with Apache Airflow for workflow orchestration.
- Experience working with distributed systems and production-grade deployments.
- Experience in client-facing technical roles, such as implementation, consulting, or solution engineering.
- Experience working with financial services, trading systems, or time-series data environments (preferred but not mandatory).
- Proven experience in people management or technical team leadership, including mentoring engineers, coordinating technical work within a team, and driving delivery execution.
- Strong written and verbal communication skills in English.
Preferred Qualifications - Experience with Kubernetes and containerized deployments.
- Experience with OneTick or similar time-series / market data platforms.
- Familiarity with financial markets, market data workflows, or trading systems.
- Experience working with enterprise or institutional clients.
- Experience contributing to process improvements or delivery best practices.
Benefits
Why Choose KX Data Driven: We lead with instinct and follow fact.
Naturally Curious: We lean in, listen and learn fast.
All In: We take ownership, take on challenges and give it our all.
Benefits - Competitive Salary
- Individually tailored training and skills development
- Private healthcare package and Employee Assistance Programme
- Enhanced maternity and paternity package
- Wellness Days and Volunteer Days