Lead Data Implementation Engineer

KX

Dublin

Hybrid

EUR 140,000 - 200,000

Full time

6 days ago

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Benefits offered by this job

Private healthcare

Employee assistance programme

Enhanced parental leave

Job summary

KX is hiring a seasoned Lead Data / Implementation Engineer, Financial Markets, to guide the architecture, customization, and deployment of our OneTick-based solutions across AWS-hosted and client environments. You will design and optimize large-scale ETL workflows, ensure high-performance distributed deployments, and serve as a trusted technical advisor to clients.

This role offers mentorship and opportunity to influence product strategy.

Qualifications

6+ years in data or software engineering roles.
Experience designing and maintaining large-scale ETL pipelines.
Strong AWS and Airflow hands-on experience.
Proven client-facing technical and advisory skills.
Experience with distributed systems and production deployments.

Responsibilities

Lead architecture and deployment of OneTick-based solutions.
Design and optimize large-scale ETL workflows.
Ensure performance and scalability of distributed deployments.
Act as technical advisor to clients.
Troubleshoot complex issues in distributed systems.
Collaborate with engineering and product teams.
Provide feedback from client requirements.
Mentor junior engineers and share knowledge.

Skills

Technical leadership

Distributed systems

Client communication

ETL pipelines

Ownership mindset

Cross-functional collaboration

6+ yrs exp

ETL pipelines design

AWS & Airflow

Production deployments

Client-facing experience

Financial time-series

People leadership

English communication

Tools

AWS

Apache Airflow

Kubernetes

OneTick

Job description

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 Data / 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.

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.

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.
6+ years of experience in Data Engineering, Software Engineering, or a related technical field.
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.