Location

Ireland

Working Model

Hybrid

Emplyment

Full-Time

Department

IT

• Solid understanding of databases, data flows, and real-time systems

• Experience in workflow automation, ETL, or process optimization

• Strong problem-solving skills and ability to work in complex environments

Desirable (Nice to Have)

• Experience in e-commerce platforms, marketplaces, or logistics systems

• Exposure to microservices and event-driven architectures

• Knowledge of DevOps tools and CI/CD pipelines

• Experience working with international or distributed teams

What We Offer

• Competitive salary aligned with international standards

• Opportunity to work on high-impact, scalable systems

• Career progression into senior data Engineer roles

• Exposure to global projects and advanced technologies

• Collaborative and innovation-driven environment

Role Overview

Highly analytical and detail-oriented Senior System & Data Analyst to support business intelligence, system optimization, and data-driven decision-making across enterprise environments.

Key Responsibilities

• Design and implement scalable software architectures and distributed systems

• Gather and translate business and stakeholder requirements into technical solutions

• Develop and manage API-driven integrations across multiple platforms

• Build workflow automation systems to streamline operations and reduce manual processes

• Collaborate with cross-functional teams including business, operations, and engineering

• Optimize system performance, scalability, and reliability for high-volume environments

• Contribute to DevOps practices including CI/CD, monitoring, and infrastructure management

• Provide technical leadership and guidance on best practices and architecture decisions

Required Skills & Experience

• 3+ years of experience in software development and/or systems architecture

• Strong knowledge of SDLC, system design, and scalable architecture patterns

• Proven experience with API development and third-party integrations

• Experience with cloud platforms (AWS, Azure, or similar)