The Vehicle Data Engineering team is seeking a Senior Software Engineer with a proven track record in building and operating large-scale data platforms. This role offers the opportunity to work on mission-critical systems at scale , solve complex distributed-systems challenges, and help shape the engineering standards and platforms used by teams across the business.
You will collaborate closely with engineers, data scientists, and business partners, while mentoring others and contributing to how high-quality, reliable software is designed, built, and operated.
What You Will Do
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Design and develop scalable, reliable backend services and platform components supporting high-volume data workloads.
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Build and maintain distributed, event-driven systems , with strong emphasis on reliability, fault tolerance, and performance.
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Write clean, maintainable, and well-tested code in Java , using Python for tooling, automation, and supporting workflows.
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Own services end-to-end , including architecture, development, deployment, monitoring, and continuous improvement.
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Contribute to shared engineering standards, including libraries, APIs, CI/CD pipelines, and automated testing frameworks .
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Partner closely with cross-functional teams to translate technical and business requirements into robust, efficient solutions.
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Participate in code reviews, promote best practices, and mentor engineers to raise engineering quality across the team.
Required Skills & Qualifications
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Bachelor’s or Master’s degree in Computer Science, Software Engineering , or a related discipline.
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5+ years of professional software engineering experience, with a strong focus on backend development.
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Strong proficiency in Java , with experience using Python for automation and tooling.
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Experience building distributed, event-driven, or microservice-based systems (e.g., Apache Flink or similar technologies).
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Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valuable).
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Solid understanding of messaging and integration technologies .
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Strong knowledge of SQL and NoSQL databases , schema design, and efficient data-access patterns.
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Experience with CI/CD pipelines , automated testing, and modern DevOps practices (e.g., GitHub, Terraform).
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Excellent analytical, debugging, and problem-solving skills in distributed or asynchronous environments .
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Strong collaboration and communication skills.
Desirable Experience
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Experience with JVM tuning, concurrency, or performance-critical systems .
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Knowledge of object stores and working with large or binary file formats.
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Familiarity with observability and monitoring tooling (e.g., DataDog, OpenTelemetry).
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Experience building internal frameworks, SDKs, or reusable engineering components .
Hybrid
This role follows a hybrid working model. The successful candidate is expected to work from the Limerick office a minimum of three days per week .
