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
Design and develop
scalable, reliable backend services
and platform components supporting high-volume data workloads.
Build and maintain
distributed, event-driven systems
, with strong emphasis on reliability, fault tolerance, and performance.
Write clean, maintainable, and well-tested code in
Java
, using
Python
for tooling, automation, and supporting workflows.
Own services
end-to-end
, including architecture, development, deployment, monitoring, and continuous improvement.
Contribute to shared engineering standards, including
libraries, APIs, CI/CD pipelines, and automated testing frameworks
.
Partner closely with cross-functional teams to translate technical and business requirements into robust, efficient solutions.
Participate in code reviews, promote best practices, and
mentor engineers
to raise engineering quality across the team.
Required Skills & Qualifications
Bachelor's or Master's degree in
Computer Science, Software Engineering
, or a related discipline.
5+ years
of professional software engineering experience, with a strong focus on backend development.
Strong proficiency in
Java
, with experience using
Python
for automation and tooling.
Experience building
distributed, event-driven, or microservice-based systems
(e.g., Apache Flink or similar technologies).
Hands-on experience with
cloud platforms
(Azure preferred; AWS or GCP also valuable).
Solid understanding of
messaging and integration technologies
.
Strong knowledge of
SQL and NoSQL databases
, schema design, and efficient data-access patterns.
Experience with
CI/CD pipelines
, automated testing, and modern DevOps practices (e.g., GitHub, Terraform).
Excellent analytical, debugging, and problem-solving skills in
distributed or asynchronous environments
.
Strong collaboration and communication skills.
Desirable Experience
Experience with
JVM tuning, concurrency, or performance-critical systems
.
Knowledge of
object stores
and working with large or binary file formats.
Familiarity with
observability and monitoring tooling
(e.g., DataDog, OpenTelemetry).
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
.
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